<p><strong>About the Role</strong></p>
<p>The fares platform team powers the fares for all of Uber - that’s all riders, earners and eaters across the Uber and Uber Eats app. With $190B+ in gross bookings processed by the fares platform annually, we solve high impact problems that are critical to Uber’s success.</p>
<p>As a Scientist on this team, you will leverage experiment design, exploratory data analysis, causal inference and model development to solve a wide variety of problems in domains like pricing, policy design, optimization and defect reduction.</p>
<p><strong>What the Candidate Will Need / Bonus Points</strong></p>
<p><strong>What the Candidate Will Do:</strong></p>
<ol>
<li>Refine ambiguous questions and generate data backed hypotheses through a deep understanding of the data, systems, customers and business.</li>
<li>Use experiments and causal inference methods to validate the hypothesis and drive business goals critical to Uber’s success.</li>
<li>Act as a thought partner with cross-functional teams across various disciplines, including product, engineering, and operations, to drive product strategy. Influence the product roadmap for fares and several cross-organizational teams.</li>
<li>Build ML models to solve complex problems and create AI agents to automate data science workflows.</li>
<li>Communicate findings clearly to technical and non-technical leadership to influence decisions and product direction.</li>
</ol>
<p><strong>Basic

Qualifications

</strong></p>
<ol>
<li>Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Computer Science, or other quantitative fields.</li>
<li>Minimum 5 years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).</li>
<li>Experience with experiment design, exploratory data analysis, causal inference and model development.</li>
<li>Proficient in both a data ETL language (e.g. SQL) and a scripting language (e.g. Python, R).</li>
</ol>
<p><strong>Preferred

Qualifications

</strong></p>
<ol>
<li>Minimum 7 years of industry experience as an Applied or Data Scientist or equivalent.</li>
<li>Experience using statistical methodologies in platform, marketplace or consumer domains.</li>
<li>Demonstrated ability to leverage data and systems thinking for storytelling and root cause analysis.</li>
<li>Excellent communication

skills

able to lead initiatives across multiple product areas and communicate findings with leadership.</li>
</ol>
<p>For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Senior Applied Scientist – AI Red Teaming & Model Risk

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

As AI systems—particularly LLMs and agentic AI—become core to our products and internal platforms, understanding how these systems fail is just as important as improving their performance. We are looking for a Senior Applied Scientist to join our AI Red Teaming efforts and focus on adversarial evaluation, failure analysis, and risk discovery in AI models and AI agents.

In this role, you will systematically probe AI systems to uncover unsafe, unintended, or harmful behaviors, including prompt injection, jailbreaks, behavioral drift, tool misuse, and context or memory poisoning. You will design experiments, build evaluation frameworks, and analyze outcomes to surface risks that traditional ML metrics do not capture.

This role is ideal for a data scientist who enjoys working at the edge of model behavior, cares deeply about safety and robustness, and wants to apply scientific rigor to securing real-world AI systems.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Design and execute AI red-teaming experiments against LLMs and AI agents to identify: prompt injection (direct & indirect), jailbreaking and policy bypass, model and tool poisoning, context and memory poisoning, behavioral drift and unsafe autonomy
2. Develop adversarial datasets, probes, and test harnesses to systematically evaluate model and agent behavior under attack.
3. Define and track AI risk metrics beyond accuracy (e.g., failure rates, drift indicators, unsafe action likelihood, confidence miscalibration).
4. Analyze agent workflows and decision traces to understand how failures emerge across multi-step reasoning and tool use.\
5. Collaborate with security engineers and AI platform teams to translate findings into guardrails, mitigations, and design improvements.
6. Build reusable evaluation pipelines to support continuous red teaming and regression testing as models and agents evolve.

---- Basic Qualifications ----

1. 5+ years of experience as a Data Scientist, Applied Scientist, or ML Scientist.
2. Hands-on experience working with LLMs or generative AI systems.
3. Direct experience with AI red teaming, model safety, or adversarial evaluation.
4. Direct experience with prompt injection, jailbreaks, and LLM failure modes.
5. Strong background in experimental design, evaluation, and statistical analysis.
6. Experience analyzing complex model behavior and failure cases beyond standard metrics.
7. Proficiency in Python and common DS/ML tooling.

---- Preferred Qualifications ----

1. Experience evaluating agentic systems, including tool use, memory, or multi-step workflows.
2. Knowledge of GenAI architectures (transformers, embeddings, RAG, agent frameworks).
3. Experience building custom evaluation datasets or simulation environments.
4. Background or strong interest in security, privacy, or trust & safety.
5. Familiarity with AI evaluation tools (e.g., custom judges, LLM-as-judge, simulation frameworks).

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr. Scientist - Mobility Matching

Data Scientist, Data Science

in San Francisco, California

• Full Time

Apply Now

About the Role

Have you ever wondered why it’s taking so long for an earner to be matched to your trip, why the ETA is so long, or how an Earner is picked from the many around you? If so, the Mobility Matching Science team is for you!

The Matching team at Uber builds the systems that determine the optimal way to fulfill trips on the Mobility platform. We work on the problems of determining which earners to send an offer to and when. The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike.

We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Uber’s scale. They ideally have a good balance of causal inference, analysis, experimentation, and modeling knowledge, as well as, an ability to use these skills to identify business opportunities and deliver product recommendations.

What You'll Do

• Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
• Design and analyze experiments, communicating results that draw detailed and actionable conclusions
• Analyze and contribute to development of optimization algos and ML models for use in mobility matching
• Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product

Basic Qualifications

• Ph.D. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field.
• Minimum 2 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.
• Proven experience in experimental design (e.g., A/B testing) and causal inference.
• Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.

Preferred Qualifications

• Ph.D., or M.S. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field.
• Minimum 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.
• Proven experience in experimental design (e.g., A/B testing) and causal inference.
• Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Scientist, Rider Personalization

Data Scientist, Data Science

in San Francisco, California

• Full Time

Apply Now

About the Role

The Rider team is the centerpiece of the Uber consumer experience, owning the core flagship app used by over 100M+ monthly active users.

The Personalization team is looking for a Senior Scientist who can help us innovate on our AIML efforts  and tackle the next frontier of challenges, including ranking & recommender systems, and agentic applications.

As a Scientist, you will play a critical role in enhancing the personalization AIML experience for millions of Rider app users worldwide. You will leverage your expertise in machine learning and data science to optimize our ranking & recommendation systems, help develop agentic applications, and simulate marketplace outcomes, ultimately improving user satisfaction and achieving business growth through one of the most impactful channels.

What You'll Do

• Prototype new models and methodologies (e.g. evidential deep learning, reinforcement learning, listwise ranking) for improving performance across the various personalization AI/ML surfaces of the rider app.
• Deep dive the data and optimize current ranking algorithms to enhance the relevance and accuracy of ranking results.
• Design experiments and offline simulations to measure the performance of AIML systems, including agentic applications, interpret the results, and make impactful recommendations for areas of development
• Work closely with product managers, engineers, and other scientists to define project goals and deliver data-driven solutions.
• Stay current with the latest advancements in personalization AIML
• Mentor and review the work of junior team members

Basic Qualifications

• M.S. or Bachelor's degree in Computer Science, Statistics, Economics, Mathematics, Operations Research, or other quantitative fields.
• 5+ years of industry experience as an Applied Scientist, Research Scientist, or equivalent.
• Proficiency in programming languages (Python, PySpark, SQL) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn),
• Strong business and product sense: ability to find business opportunities in AIML Systems and help define product and engineering roadmaps to capture these opportunities.

Preferred Qualifications

• Prior experience with feed ranking, recommender systems, or search algorithms
• Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git.
• Advanced skills in the development and deployment of large-scale ML models and optimization algorithms

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Scientist II, Fares

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The fares platform team powers the fares for all of Uber - that’s all riders, earners and eaters across the Uber and Uber Eats app. With $190B+ in gross bookings processed by the fares platform annually, we solve high impact problems which are critical to Uber’s success.

As a Scientist on this team, you will leverage experiment design, exploratory data analysis, causal inference and model development to solve a wide variety of problems in domains like pricing, policy design, optimization and defect reduction.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

1. Refine ambiguous questions and generate data backed hypotheses through a deep understanding of the data, systems, customers and business.
2. Use experiments and causal inference methods to validate the hypothesis and drive business goals critical to Uber’s success.
3. Act as a thought partner with cross-functional teams across various disciplines, including product, engineering, and operations, to drive product strategy. Influence the product roadmap for fares and several cross-organizational teams.
4. Build ML models to solve complex problems and create AI agents to automate data science workflows.
5. Communicate findings clearly to technical and non-technical leadership to influence decisions and product direction.

Basic Qualifications

1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Computer Science, or other quantitative fields.
2. 3+ years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).
3. Experience with experiment design, exploratory data analysis, causal inference and model development.
4. Proficient in both a data ETL language (e.g. SQL) and a scripting language (e.g. Python, R).

Preferred Qualifications

1. 5+ years of industry experience as an Applied or Data Scientist or equivalent.
2. Experience using statistical methodologies in platform, marketplace or consumer domains.
3. Demonstrated ability to leverage data and systems thinking for storytelling and root cause analysis.
4. Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership.

For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Scientist, Rider Booking Experience

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California

Full Time

Apply Now

About the Role

At Uber, our mission is to reimagine how the world moves for the better. As part of the Rider Booking Experience team, you’ll have the opportunity to work on the core mobility business and influence the experience for millions of riders. From optimizing AI Booking experiences to shaping executive-level strategy for the mobility product portfolio, your work will have a meaningful impact on the future direction of Uber. You’ll design experiments, develop models, and analyze user behavior to drive growth in the mobility business.

The data science work we do is diverse and helps to drive every stage of product development. Our toolkit includes experimentation, product analytics, and ML modeling. You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet.

Some of the key projects will include evaluating AI booking agents, building targeting models for messaging in the app, and running large scale experiments to improve the UX. In this role, you’ll have exposure to many of the teams within Uber and an opportunity to influence the strategy for a core pillar of Uber’s business.

What You'll Do:

Drive Strategic Vision

1. Shape the vision for the mobility booking experience and translate the strategy into measurable goals, robust models, and scalable systems.
2. Propose and defend data-driven hypotheses in senior and executive reviews; shape long-term product direction with clear narratives and analysis.

Modeling, Metrics & Experimentation

1. Design and scale advanced machine learning and optimization systems to power steps in the booking flow.
2. Establish key success metrics and measurement frameworks for features and launches.
3. Incubate 0-to-1 solutions to evaluate and iterate on emerging AI user experiences.

Cross-Functional Leadership

1. Partner deeply with engineering, product, and operations to identify impactful opportunities and co-drive execution from inception to delivery.
2. Act as a scientific thought leader, mentoring junior scientists and influencing technical strategy across the organization.

Basic Qualifications

1. Ph.D. or equivalent experience in a quantitative field such as Economics, Statistics, Machine Learning, or Applied Mathematics.
2. Minumal 4 years of industry experience in Data Science, Applied Science, or related roles, with a proven record of driving product impact.
3. Deep expertise in SQL, Python, and statistical analysis.
4. Advanced knowledge of experimentation and causal inference methodologies.
5. Experience presenting to and influencing senior leadership and executives.

Preferred Qualifications

1. Minumal 7 years experience in fast-paced tech or marketplace environments; experience in AV mobility or delivery domains is a plus.
2. Proven experience building and deploying ML or optimization models in production.
3. Demonstrated leadership of large-scale, cross-functional technical initiatives.
4. Entrepreneurial experience launching new product lines, systems, or 0-to-1 initiatives.
5. Strong product and systems thinking, comfortable making trade-offs between ideal science and product reality.
6. Strong communication, storytelling, and influencing skills.

For New York, NY-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Data Scientist

Data Scientist, Data Science

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

We are looking for an exceptional Data Scientist with 3+ years of experience to help Uber’s internal and external applications, products and services to grow adoption, improve CSAT and reduce cost. You will leverage analytics, engineering, and machine learning, and data science to empower data-driven decision making in the full lifecycle of product development. You will be responsible for building this program from the ground up: partner with stakeholders, understand all aspects of the products, interact with cross-functional business and technical teams, predict risks, improve strategic decisions, and lead experimentation/growth projects.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions
2. Define, measure, and analyze business metrics and product KPIs
3. Create tableau dashboards and the underlying data aggregations in GCP.
4. Conduct exploratory analysis to inform product strategy and evaluate recently released or existing products or features
5. Partner with multiple team members to make data-driven decisions across the organization by leveraging descriptive and predictive analytics
6. Work from the inception of a specified business problem identified by data to delivery of a solution, identify opportunities to fix or improve processes that make Uber better in the long term
7. Put together seemingly disparate pieces of data, build out the data pipeline and create interactive dashboards, provide comprehensive analytics support to partner teams, primarily through development of self-serve tools (such as Tableau and Looker)
8. Write queries, contribute to larger-scale products/projects and perform ad hoc analyses as needed, apply a diverse set of techniques including statistics, quantitative reasoning to help grow the business
9. Comfortable with working in fast-paced environments to find answers to critical questions with data and be decisive in an ambiguous situation
10. Determine and monitor essential metrics for product projects
11. Own, drive, and solve complex, cross-functional problems that extend beyond the traditional boundaries of product domains, analytics, and data science
12. Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written format

---- Basic Qualifications ----

1. 3+ years in quantitative/analytic role, preferably within tech
2. Experience in applying both data-backed heuristics and machine-learning techniques to solve practical product problems such as customer lifetime value models, funnel optimization.
3. 1+ years experience with BI Tools such as Tableau, MicroStrategy, Power BI or Looker
4. Expertise using data modeling skills to identify key product trends and new product opportunities
5. Ability to design implement, and track core metrics to analyze the performance of our products
6. SQL expert and a good understanding of databases, data relationships and data integrity
7. Demonstrated ability to think strategically about business, product, and technical challenges
8. Strong communication skills and customer empathy, capable of pushing for the best solution with tact
9. Strong problem solving skills and ability to translate ambiguous, unstructured problems into actionable data-driven analyses
10. Bachelor's degree in Computer Science, Mathematics, Statistics, or a related technical field
11. Excellent planning and project management skills

---- Preferred Qualifications ----

1. Advanced degree in applied mathematics, statistics, actuarial science, economics or related field
2. Experience in a product-focused role at a social media and/or mobile technology company
3. Experience handling structured and unstructured data from internal and third-party sources
4. Experience with Python, Javascript, and R are plus
5. Strong communication and interpersonal skills
6. Exposure to Web Analytics such as Google Analytics, Adobe Analytics/Omniture, Heap Analytics
7. Experience with causal inference techniques, experimental design and/or A/B testing
8. Leveraging and integrating large language models (LLMs) to enhance analytics, automate workflows, and improve user interaction and decision support."

For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Scientist, Mobility Matching

Data Scientist, Data Science

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Have you ever wondered why it’s taking so long for an earner to be matched to your trip, why the ETA is so long, or how an Earner is picked from the many around you? If so, the Mobility Matching Science team is for you!

The Matching team at Uber builds the systems that determine the optimal way to fulfill trips on the Mobility platform. We work on the problems of determining which earners to send an offer to and when. The solutions we build are critical for maintaining reliability and ensuring the trust of riders and earners alike.

We are looking for experienced scientists who relish the opportunity to develop novel approaches and apply them at Uber’s scale. They ideally have a good balance of causal inference, analysis, experimentation, and modeling knowledge, as well as, an ability to use these skills to identify business opportunities and deliver product recommendations.

What You'll Do

• Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
• Design and analyze experiments, communicating results that draw detailed and actionable conclusions
• Analyze and contribute to development of optimization algos and ML models for use in mobility matching
• Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product

Basic Qualifications

• Ph.D., or M.S. in Statistics, Economics, Machine Learning, Operations Research, Computer Science, or another quantitative field.
• Minimum 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Strong knowledge of the mathematical foundations of statistics, machine learning, optimization, and economics.
• Proven experience in experimental design (e.g., A/B testing) and causal inference.
• Proficiency in using Python or R for data analysis, modeling, and algorithm prototyping at scale with large datasets.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.

Preferred Qualifications

• 6+ years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
• Ph.D. in a relevant quantitative field.
• Deep expertise in areas such as marketplace experimentation, causal inference, ML, or optimization, particularly in the context of multi-sided platforms, incentive systems, or logistics.
• Proficiency in SQL.
• Experience in algorithm development and prototyping, and with productionizing algorithms for real-time systems.
• Demonstrated ability to translate complex analytical results into clear, actionable insights and influence product and business strategy.
• Excellent communication and presentation skills, with the ability to articulate technical concepts to diverse audiences, including senior leadership.
• Experience leading technical projects and influencing the scope and direction of research.
• Familiarity with big data technologies (e.g., Spark, Hive, HDFS).
• Strong business acumen and the ability to shape vague questions into well-defined analytical problems and success metrics.

For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>Employer:</strong> Uber Technologies, Inc.</p>
<p><strong>Job Title:</strong> Scientist, Tech</p>
<p><strong>Job Location:</strong> San Francisco, California</p>
<p><strong>Job Type:</strong> Full Time</p>
<p><strong>Rate of Pay:</strong> $161,000 to $197,000 per year</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</p>
<p><strong>Duties:</strong>                         Design, execute, and analyze experiments to understand product and tool performance in the areas of driver recruitment, fleet management, AV fleet operations. Deep dive into user experience. Work together with Product, Operations, and Engineering partners to design a roadmap of features and initiatives and shape long-term strategy. Present data insights to business and executive audiences to help drive decisions and guide product development roadmap. May telecommute.</p>
<p>Employer will accept a Master's degree in Analytics, Data Science, Statistics, Economics, Machine Learning, Operations Research, or related field and 1 year of experience in the job offered or in a computer-related occupation.</p>
<p>Position requires:</p>
<ol>
<li>Quantitative Analysis;</li>
<li>Data Visualization;</li>
<li>Dashboard Development;</li>
<li>Data Analytics tools: R or Python; and</li>
<li>Querying data from the database using SQL.</li>
</ol>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Staff Infrastructure Efficiency Analyst

Product Analyst, Data Science

in San Francisco, California

• Full Time

Apply Now

About the Role

As an Infrastructure Analyst within the Cloud C.O.R.E team you will be a key driver of financial accountability and optimization across our cloud environments. You will play a critical role in cloud billing data analysis, forecasting, and the identification and impact analysis of engineering and financial optimizations. You will leverage your expertise in data analysis, machine learning, and engineering to drive insights, optimize our infrastructure, improve our forecasts, and deliver efficient growth for Uber.

---- What the Candidate Will Do ----

1. Translate complex cloud consumption data into actionable insights for leadership and engineering.
2. Identify and track optimizations and realized savings.
3. Establish key price-performance metrics and partner with engineering to implement price-performance optimizations within production scaling.
4. Define and manage reporting of cloud consumption metrics and KPIs, ensuring transparency, accuracy, and accountability.
5. Establish consumption anomaly detection capabilities and reporting.
6. Partner with engineering and capacity planning teams to optimize resource consumption decision making.
7. Support commitment strategies, ensuring commitment decisions that optimize spend and best serve the business and technical strategy.
8. Embed cloud consumption shift-left principles into engineering design and architecture.
9. Partner with engineers and business leaders to model future consumption and costs to drive strategic decision making.
10. Collaborate on infrastructure demand planning across key infrastructure growth metrics.
11. Partner with engineering to improve consumption and efficiency reporting across internal tooling.

---- Basic Qualifications ----

1. Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
2. 7+ years of industry experience as an Applied or Data Scientist or equivalent (or 4+ years with Ph.D.).
3. 5+ years of industry experience working with Cloud, either at a hyperscaler or as a cloud customer.
4. Familiarity with cloud compute, storage, and data analytics concepts and products, demonstrated through either multiple years of experience on a team building cloud products, or managing the consumption of numerous cloud products, or through accreditation from numerous cloud certifications.
5. Demonstrated experience mentoring and coaching junior analysts or peers, with ability to provide constructive feedback and support professional development.
6. Excellent communication and collaboration skills: Able to lead initiatives across multiple areas and communicate findings with leadership and engineering teams.
7. Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl).
8. Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models.
9. Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.
10. Fluency in MS Excel/Google Sheets for analysis and collaboration with finance teams.

---- Preferred Qualifications ----

1. Experience with cost optimization analysis & implementation, ideally for cloud spend or compute infrastructure.
2. Experience in leading key technical projects and substantially influencing the scope and output of others.
3. Thought leadership to drive cross-functional projects from concept to production.
4. Experience in contributing to performance optimization initiatives through experimentation.
5. Experience with exploratory data analysis, statistical analysis, and model development.

For San Francisco, CA-based roles: The base salary range for this role is USD$211,000 per year - USD$234,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>End-to-end product development from a data, analytics, modeling and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.</p>
<h4><strong>About the Team(We are hiring for multiple teams)</strong></h4>
<p>We are building the future of Uber's mobility and logistics platforms. Our teams drive innovation across critical areas, including:</p>
<ul>
<li><strong>Delivery Marketplace</strong>: A central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for running an efficient marketplace with dispatch & pricing decisions.</li>
<li><strong>Uber One Membership</strong>: Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.</li>
</ul>
<p><strong>What You’ll Do</strong></p>
<ul>
<li>Lead a team of Scientists, including growing and mentoring your team members.</li>
<li>Partner closely with cross-functional stakeholders and other Science teams to identify business needs and translate them into technical roadmaps to deliver impactful solutions.</li>
<li>Communicate complex findings and recommendations to senior leadership.</li>
<li>Solve ambiguous, challenging business problems using data-driven approaches including Causal Inference, Optimization and ML.</li>
<li>Own the product development cycle end to end from data and science aspects.</li>
<li>Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.</li>
</ul>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li>Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.</li>
<li>7+ years of industry experience as an Applied or Data Scientist or equivalent (or 4+ years with Ph.D.).</li>
<li>1+ years managing a team of scientists.</li>
<li>Excellent communication and collaboration

skills

Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.</li>
<li>Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)</li>
<li>Experience designing experiments and interpreting the results to draw detailed and actionable conclusions across a variety of key performance indicators</li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields.</li>
<li>2+ years managing a team of scientists.</li>
<li>Experience in leading key technical projects and substantially influencing the scope and output of others.</li>
<li>Thought leadership to drive cross-functional projects from concept to production.</li>
<li>Experience in large-scale marketplace algorithm design or experimentation platform.</li>
</ul>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

<p><strong>About the Role</strong></p>
<p>End-to-end product development from a data, analytics, modeling and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.</p>
<h4><strong>About the Team(We are hiring for multiple teams)</strong></h4>
<p>We are building the future of Uber's mobility and logistics platforms. Our teams drive innovation across critical areas, including:</p>
<ul>
<li><strong>Delivery Marketplace</strong>: A central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for running an efficient marketplace with dispatch & pricing decisions.</li>
<li><strong>Maps</strong>: Building the geospatial technologies for all of Uber, including travel time prediction (ETA), routing, search & ranking, pickup & dropoff recommendation, and trip intelligence. The outputs power marketplace systems like pricing & matching and the core trip experience.</li>
<li><strong>Uber One Membership</strong>: Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.</li>
<li><strong>Experimentation Platform</strong>: Building the experimentation platform and the underlying measurement models at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.</li>
<li><strong>Autonomous Mobility & Delivery (AM&D)</strong>: Pioneering the integration of autonomous vehicles into the existing ecosystem, tackling the complex challenge of building a reliable, efficient, and scalable hybrid marketplace for both Rides and Eats.</li>
</ul>
<p><strong>What You’ll Do</strong></p>
<ul>
<li>Solve ambiguous, challenging business problems using data-driven approaches including Causal Inference, Optimization and ML.</li>
<li>Own the product development cycle end to end from data and science aspects.</li>
<li>Provide thought leadership and mentorship for critical science problems across teams / orgs.</li>
<li>Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of initiatives.</li>
<li>Design and analyze experiments, present results that provide actionable recommendations.</li>
<li>Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.</li>
<li>Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.</li>
<li>Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.</li>
</ul>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li>Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.</li>
<li>7+ years of industry experience as an Applied or Data Scientist or equivalent (or 4+ years with Ph.D.).</li>
<li>Excellent communication and collaboration

skills

Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.</li>
<li>Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)</li>
<li>Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models</li>
<li>Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.</li>
<li>Experience designing experiments and interpreting the results to draw detailed and actionable conclusions across a variety of key performance indicators</li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields.</li>
<li>Experience in leading key technical projects and substantially influencing the scope and output of others</li>
<li>Thought leadership to drive crossi-functional projects from concept to production.</li>
<li>Experience in large-scale marketplace algorithm design or experimentation platform.</li>
<li>Experience with exploratory data analysis, statistical analysis and model development</li>
<li>Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala</li>
</ul>
<p>For New York, NY-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.</p>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Sr Staff Software Engineer - Backend - Cadence

Backend, Engineering

in Seattle, Washington

• Full Time

Apply Now

About the Role

Cadence is a modern open source microservice orchestration platform developed at Uber and adopted by many leading companies. It serves as the backbone for more than 1,000 Cadence domains at Uber, powering billions of executions each month. With a rapidly growing open source community, Cadence offers the opportunity to make an impact not just at the company level but across the industry.

We are seeking a software engineer with experience building highly scalable, high throughput, low latency, multi tenant backend systems. Beyond technical expertise, we are looking for someone passionate about open source, someone who listens to the community, helps organize meetups, and addresses community needs. In this role, you will lead a large backend team, shape standards for both the Cadence team and its community, and contribute to the growth of cutting edge distributed technology.

To get more information about Cadence you check our website (https://cadenceworkflow.io/), LinkedIn page (https://www.linkedin.com/company/cadenceworkflow) or YouTube channel (https://www.youtube.com/@cadenceworkflow2989/videos).

---- What the Candidate Will Do ----

1. Contribute to an open source project used by many major companies
2. Write code to build new features to support more use cases
3. Develop and review design documents
4. Improve onboarding, observability and operability experiences for Cadence
5. Define standards for the processes used internally and externally

---- Basic Qualifications ----

1. Experience in team and technology leadership
2. Solid background in multiple programming languages, e.g. Go, Java or C++
3. Strong infrastructure experience. Experience in distributed systems and a good understanding of its fundamentals.
4. Great interpersonal skills, deep technical ability, and a portfolio of successful execution. You are open-minded to discuss various technical approaches and able to drive consensus across various stakeholders at Uber.
5. Excellent written and verbal communication skills, including the ability to gather requirements and draft detailed design documents.
6. BS degree in Computer Science or a related engineering field. Masters/Ph.D. preferred.
7. 10+ years of relevant software engineering experience

---- Preferred Qualifications ----

1. Experience with leading an open source project
2. Experience with Durable Functions, SWF or Temporal
3. Excellent coding skills with a high bar for quality and scalability
4. Familiarity with technologies like Kafka, OpenSearch, Cassandra, gRPC, protobuf, Prometheus

For Seattle, WA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>Uber's Developer Platform is in the middle of a paradigm shift. The industry moved from text editors to IDEs. We're now moving from IDEs to Agentic Dev Environments (ADEs), where AI agents are first-class participants in the software development lifecycle.</p>
<p>The AI Foundations & Developer Experience (AIFX) team is building the infrastructure that makes this shift real.</p>
<p>We own:</p>
<p>The agent runtime. Claude Code, Codex, and Minions, our background agent orchestration system for autonomous code generation.</p>
<p>The MCP platform layer. Giving agents structured access to Uber's tools, data, and developer lifecycle.</p>
<p>The Skill Marketplace. Encoding tribal knowledge into loadable, composable expertise so any engineer can be instantly productive in any monorepo.</p>
<p>We're hiring engineers who think in systems, not features. You'll own foundational pieces of Uber's agentic infrastructure. Getting it right means every team at Uber ships faster.</p>
<p><strong>---- What the Candidate Will Do ----</strong></p>
<p>Design and ship the skill pack framework. How skills are authored, versioned, distributed, and loaded across Go, Java, Python, iOS, Android, and Web monorepos. Skills are the differentiator: portable expertise that makes any agent instantly productive.</p>
<p>Build the multi-agent runtime inside Uber's DevPod cloud environments. Persistent background agents, swarm orchestration, cross-agent context passing. Agents working 24/7 in parallel, not one-shot interactions.</p>
<p>Develop AI-powered code intelligence. Semantic code search, dependency-aware context, codebase understanding that gives agents deep structural knowledge (not just text search).</p>
<p>Own and evolve the MCP platform layer. Consolidating code-mcp, docs-mcp, and developer lifecycle MCPs into a unified, low-latency context infrastructure that agents actually depend on.</p>
<p>Partner with Code Infra, DevPod, Mobile Platform, Web Platform, and Backend Platform teams to ship the foundational systems that make agentic engineering work at Uber's scale. ~5K microservices, 6 monorepos, 5,000+ engineers.</p>
<p>Set technical direction for agentic infrastructure across Uber's Developer Platform. Define the architecture, verification frameworks, and trust models for agent-generated code at org scale.</p>
<p>Mentor engineers in agentic fluency. Raise the bar on how teams think about, build with, and ship through AI agents.</p>
<p><strong>---- Basic Qualifications ----</strong></p>
<p>Experience building and scaling developer tooling or platform infrastructure (e.g., SDKs, CLIs, APIs, runtime systems) in large-scale engineering environments</p>
<p>Strong proficiency in at least one major programming language (Go, Java, Swift, Kotlin, Python, or TypeScript) with demonstrated experience integrating AI/ML models into developer workflows</p>
<p>System design experience for high-reliability, observable, developer-facing services and agentic systems</p>
<p><strong>---- Preferred Qualifications ----</strong></p>
<p>Experience building and scaling developer tooling or platform infrastructure (e.g., SDKs, CLIs, APIs, runtime systems) in large-scale engineering environments</p>
<p>Strong proficiency in at least one major programming language (Go, Java, Swift, Kotlin, Python, or TypeScript) with demonstrated experience integrating AI/ML models into developer workflows</p>
<p>System design experience for high-reliability, observable, developer-facing services and agentic systems</p>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.</p>
<p>For Seattle, WA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

<p><strong>About the Role</strong></p>
<p>The <strong>Autonomous Mobility & Delivery (AM&D)</strong> team is leading Uber’s autonomous future across Rides and Eats. As we move toward a world where autonomous and human-driven vehicles coexist, we're building a hybrid marketplace that seamlessly integrates AVs — ensuring reliability, efficiency, and massive scale.</p>
<p>Our work touches nearly every part of Uber. Over the past year, we have partnered with top Autonomous Vehicle OEMs to successfully bring AVs onto our Mobility and Delivery platforms. And we are just getting started. As we gear up for the next wave of growth, we are looking for a <strong>Senior Staff Engineer</strong> to help drive the vision and platform strategy that will power Uber’s autonomous future.</p>
<p>In this role, you will help design and scale the autonomous platform — building a foundation for faster OEM integrations, strengthening our simulation capabilities, and leveling up our data pipelines and reporting systems.</p>
<p><strong>What You Will Do</strong></p>
<ul>
<li><p><strong>Set the architectural vision:</strong> Define and drive the technical direction for the AM&D platform, partnering closely with product and business leaders to create real impact for Uber and our customers.</p></li>
<li><p><strong>Lead major platform initiatives:</strong> Own and scale critical systems across the API Gateway, Simulation Platform, and Data Pipelines & Reporting.</p></li>
<li><p><strong>Mentor and inspire:</strong> Provide technical leadership and coaching to a high-performing team of engineers, helping foster an innovative and collaborative culture.</p></li>
<li><p><strong>Build for scale and reliability:</strong> Design, develop, and deploy platform components that are resilient, extensible, and easily integrated across multiple Uber surfaces.</p></li>
<li><p><strong>Collaborate across Uber:</strong> Work with cross-functional and cross-company teams to ensure our autonomous platform aligns with Uber’s broader marketplace and product strategies.</p></li>
</ul>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li><p>PhD or equivalent in Computer Science, Engineering, Mathematics or related field <strong>AND</strong> 4-years full-time Software Engineering work experience <strong>OR</strong> 7-years full-time Software Engineering work experience, <strong>WHICH INCLUDES</strong> 4-years total technical software engineering experience in one or more of the following areas:</p></li>
<li><p>Programming language (e.g. C, C++, Java, Python, or Go)</p></li>
<li><p><em>Note the 4-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these).  The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.</em></p></li>
<li><p>Past experience in developing large-scale, distributed systems</p></li>
<li><p>Strong understanding of technical architecture, system design, and problem solving acuity for sophisticated technical challenges</p></li>
<li><p>Proven track record of leading and scaling high-impact product platform initiatives. Strong technical expertise with deep knowledge of platform architecture, microservices, and best practices for building resilient, scalable systems</p></li>
<li><p>Demonstrated ability to work with cross-functional partners to drive business outcomes through a platform approach</p></li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>Experience in building API platforms, data platforms, simulation or other foundational product platforms that serve multiple product teams</li>
<li>Experience in optimizing multiple-sided marketplace</li>
<li>Familiarity with Autonomous or Mobility or Delivery Systems, and understand challenges unique to the autonomous or mobility or delivery industries</li>
<li>Passionate about shaping the future of autonomous delivery and driving innovation in the industry</li>
</ul>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Sales Performance Management Application Developer

Engineering

New York, New York |

Seattle, Washington |

San Francisco, California |

Chicago, Illinois |

Sunnyvale, California

Full Time

Apply Now

About the Role

As a Sales Performance Management Application Developer on the Sales Automation Engineering team, you will serve as the bridge between technical implementation and strategic sales operations. You will be responsible for gathering and documenting business requirements, designing, building, testing, deploying, and providing post-production support on complex, high-impact cross-functional systems. These projects directly deliver value to our Commercial and Sales Operations teams.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Define and Design: Translate complex business requirements into a robust planning and operational architecture within the SPM system, ensuring scalability and performance.
2. Configure and Maintain: Build and optimize multi-application environments and permissions used for sales planning, incentive compensation management, and reporting within the SPM system.
3. Prioritize Engineering Excellence: Commit and adhere to rigorous engineering standards to prioritize Quality, Efficiency, Velocity, Security, and Growth in every build.

---- Basic Qualifications ----

1. Experience working with and building applications/models in commercial-grade enterprise sales planning platforms (specifically Pigment, Anaplan, or Jedox).
2. Strong communication and teamwork skills to bridge the gap between engineering and business stakeholders.
3. Excellent problem-solving and analytical skills to troubleshoot complex calculation logic.

---- Preferred Qualifications ----

1. Scripting & Languages: Proficiency in SQL, Python, and TypeScript.
2. AI-Assisted Development: Experience utilizing Cursor, Claude Code, or GitHub Copilot to accelerate development velocity.
3. Integration: Experience with REST API integrations.
4. Orchestration: Familiarity with tools such as Apache Airflow.

For Chicago, IL-based roles: The base salary range for this role is USD$138,000 per year - USD$153,000 per year.

For New York, NY-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Machine Learning Engineer – AV Labs

Machine Learning, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.

As a Staff ML Engineer, you will be at the forefront of Physical AI, developing core components of our Autonomous Driving stack. You will set the technical direction for the development and implementation of machine learning techniques across the autonomy systems. You aren't just solving known problems; you are identifying the next generation of challenges in AV, designing the architectural foundations to solve them, and raising the bar for technical excellence across the entire engineering organization. You will collaborate with engineers across big data, compute, and cloud engineering to build platforms that harness scale and real-world complexity to reimagine how the world moves.

What the Candidate Will Do

Set the technical roadmap and lead the delivery of state-of-the-art Machine Learning systems:

• Strategic Autonomy Development: Lead the strategy for Autonomous Driving Algorithm Development, ensuring our stack is robust, safe, and capable of handling the most complex urban edge cases.
• End-to-End AI Innovation: Drive the adoption of end-to-end AI-driven methods for autonomy pipelines, moving beyond incremental improvements to achieve breakthrough performance.
• Architecture & System Design: Design and oversee the implementation of complex, large-scale ML systems, ensuring seamless integration between upstream sensor data.
• Technical Mentorship & Influence: Mentor senior and lead engineers, fostering a culture of rigorous experimentation and engineering excellence. You will influence the technical direction of multiple teams.
• Platform Evolution: Define the requirements for high-quality datasets and auto-labeling systems, ensuring our ML infrastructure evolves at the speed of the latest research.
• Cross-Organizational Leadership: Act as a bridge between AV Labs and other Uber engineering units to ensure that autonomous technology is successfully integrated and deployed at scale.

Basic Qualifications

• 8+ years of working experience in the ML, Robotics, or Autonomous Systems industry.
• Proven experience leading large-scale technical projects from conception to production.
• Bachelor’s degree in Computer Science, Computer Engineering, or related fields.
• Expert-level proficiency in Python and Linux environments.
• Deep expertise in modern AI/ML frameworks (e.g., PyTorch).

Preferred Qualifications

• PhD degree in Computer Vision, Robotics, or Machine Learning with a focus on Autonomous Driving.
• Extensive experience with C++, CUDA, and high-performance system optimization.
• Deep understanding of the Robot Operating System (ROS) or similar autonomous middleware.
• Recognized expertise in the field (e.g., publications in CVPR, NeurIPS, ICRA or patents related to AV).
• Experience building and scaling "Foundation Models" for physical world interaction.

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr Software Engineer - Fulfillment Shopping & Ordering

Backend, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The Fulfillment platform is the foundation powering the logistics behind fulfilling user orders from any Uber app. It operates life cycles of orders, trips, drivers, eaters, and other user sessions when they interact with Uber. These interactions are real-time and high-scale when millions of concurrent riders, drivers, and eaters are using Uber. We support both Uber Rider businesses (pool, airports, hourly rentals, intercity trips, reservations, package delivery, uber health) and Uber Delivery businesses (groceries, uber eats, delivery API).

Our tech challenges are in both the business layer (data modeling of complex products, building reusable higher order business APIs to share across products) and the Infrastructure layer (storing high write & transient data, language framework, search & ranking, events & data streaming systems)

We are looking for a Software Engineer for the Fulfillment Shopping team to help build our next generation of product discovery, planning, and order checkout platforms. Over the next few years, this team will be innovating with new offerings like car rentals, third-party drivers, package deliveries, and reenvisioning the entire shopping and checkout flow for Uber. This is a high-impact role where you will partner with Engineering, Product, and Ops leaders across the company to launch new products as well as improve the overall efficiency of the marketplace.

You can get a glimpse of the work we do in Fulfillment

1. https://eng.uber.com/fulfillment-platform-rearchitecture/
2. https://eng.uber.com/building-ubers-fulfillment-platform/

---- What the you will do ----

1. Collaborate in a team environment with significant ownership and autonomy over projects.
2. Work on the next phase of fulfillment and product lines for our 1P, 3P, and SaaS customers, addressing significant organizational-level challenges that impact Uber's operations.
3. Design, develop and deliver high-quality features promptly with accountability.
4. Partner with engineering managers, product managers, and other engineering teams to define project requirements and execution plans.
5. Ensure that system designs, including APIs, architecture, and dependency selection, result in scalable, resilient solutions that minimize support costs and enhance the partner experience.

---- Basic Qualifications ----

1. A Bachelor's Degree in Computer Science or a related field (or equivalent experience).
2. At least 5+ years of professional experience in software development.
3. Strong understanding of computer science fundamentals, including object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
4. Proficient in at least one programming language, such as Golang, Java, C#, or C++.
5. Experience working with distributed systems.
6. Effective communication skills to interact with engineers, technical teams, and senior management to gather requirements, and describe software product features, technical designs, and product strategy.

---- Preferred Qualifications ----

1. MS / Ph.D. in Computer Science or related field.
2. Experience managing production systems with a strong availability SLA.
3. Knowledgeable in software engineering best practices throughout the entire software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
4. Experience working with large-scale distributed systems

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Machine Learning Engineer II, Pricing

Machine Learning, Engineering

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.

We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team’s technical direction and solve some of Uber’s most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.

What You Will Do

• Design, develop, and productionize end-to-end ML solutions for large-scale distributed systems serving billions of trips
• Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
• Partner with senior engineers to plan the scope and execution of projects and mentor junior team members on design and implementation
• Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

Basic Qualifications

• Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
• 2+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments
• Proficiency in programming languages such as Python, Scala, Java, or Go
• Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
• Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
• Familiarity with modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization), combined with proven ability and ambition to continuously deepen expertise in these areas

Preferred Qualifications

• Experience in translating ambiguous business problems into technical solutions in a structured and principled way
• Strong communication skills, including through documentation and design discussions
• Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
• Experience in reinforcement learning and causal machine learning

For New York, NY-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>Applied AI at Uber builds intelligent systems that power critical product experiences across the platform. As an Engineering Manager II — Computer Vision, you will lead a high-performing team of engineers developing state-of-the-art vision and multimodal systems that support large-scale, production-grade applications such as document intelligence, onboarding automation, transcription systems, and other visual AI workflows.</p>
<p>You will be responsible for driving technical execution and long-term strategy across computer vision initiatives, partnering closely with Product, ML Infrastructure, and cross-functional stakeholders. This role requires strong technical depth in machine learning systems and distributed production environments, combined with exceptional people leadership and organizational impact.</p>
<p>You will shape multi-year technical direction, elevate engineering standards, and ensure your team delivers reliable, scalable, and high-quality AI solutions that drive measurable business impact.</p>
<p><strong>What You Will Do:</strong></p>
<ul>
<li>Lead and manage a team of software and deep learning engineers, delivering high-quality computer vision products and scalable ML systems.</li>
<li>Develop and execute technical strategies that align with business objectives, translating complex product requirements into clear, multi-quarter roadmaps and platform architecture.</li>
<li>Collaborate cross-functionally with Product, ML Infra, Data, and partner engineering teams to drive technical innovation and deliver measurable impact across business units.</li>
<li>Plan, prioritize, and oversee execution, ensuring timely delivery through effective delegation, empowering tech leads, and maintaining high engineering standards.</li>
<li>Mentor, grow, and develop a world-class team of deep learning engineers, fostering a culture of continuous learning, operational excellence, and high performance.</li>
</ul>
<p><strong>Basic

Qualifications

</strong></p>
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, or equivalent technical background with exceptional demonstrated impact.</li>
<li>12+ years of industry experience, including 3+ years leading high-performing engineering teams in large-scale distributed production environments.</li>
<li>Proven track record of delivering sustained business impact over multiple quarters through strong execution and organizational leadership.</li>
<li>Experience driving timely execution through effective delegation, empowering technical leads, and leading cross-team alignment by setting clear priorities and resolving trade-offs.</li>
<li>Demonstrated ability to translate complex business problems into multi-year technical strategies and cross-team platform architectures.</li>
</ul>
<p><strong>Preferred

Qualifications

</strong></p>
<ul>
<li>Strong experience training and optimizing large-scale vision or multimodal models, including Vision-Language Models (VLMs) or foundation models.</li>
<li>Deep understanding of computer vision techniques such as object detection, segmentation, OCR, document layout understanding, and point cloud processing.</li>
<li>Experience working with large-scale distributed systems and real-time data processing environments.</li>
<li>3+ years of experience managing a team of senior engineers, with demonstrated strength in coaching, career development, and building inclusive, high-performing teams.</li>
<li>Experience partnering closely with ML Infrastructure teams to scale training, evaluation, and deployment pipelines.</li>
</ul>
<p>For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

<p><strong>About the Role</strong></p>
<p>Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products.</p>
<p><strong>About the Team</strong><strong>(We are hiring for multiple teams)</strong></p>
<p>Grocery & Retail is Uber’s newest and fast growing business line, delighting customers with next-hour delivery of household essentials from their favorite local stores. The team is focused on building best-in-class products and technology to support merchants, consumers and couriers in shopping and fulfilling orders on the Uber platform. We solve challenging technical problems across consumer experiences, fulfillment orchestration, search, ranking, recommendations, catalog and merchant platforms to meet the needs of the growing business.</p>
<p>The Grocery and Retail team is looking for a Software Engineer to execute on the team’s ambitious and fast-paced technology strategy. This is an important and visible role with a potential for significant impact on the fast growing grocery and retail business. We are looking for someone with deep knowledge and passion for software engineering, enjoys solving challenging technical and product problems, and can effectively collaborate with stakeholders.</p>
<p><strong>What You’ll Do</strong></p>
<ul>
<li>Design, develop, and maintain robust and scalable software solutions</li>
<li>Collaborate with product managers, cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specifications</li>
<li>Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to deployment</li>
<li>Participate in code reviews, provide constructive feedback, and mentor junior engineers to foster a culture of continuous learning and improvement</li>
<li>Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment</li>
<li>Build and maintain scalable backend services and infrastructure</li>
<li>Stay up-to-date with the latest technologies and industry trends, evaluating their potential impact on our software systems and recommending appropriate integrations or improvements</li>
</ul>
<h2><strong>Basic

Qualifications

</strong></h2>
<ul>
<li>Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field with at least 3 years of full-time Software Engineering work experience OR PhD in Computer Science, Engineering, Mathematics or related field with at least 1 year of full-time Software Engineering work experience</li>
<li>Proficiency in at least one programming language such as Java, C++, Python, or Go</li>
<li>3 years of experience with backend development, building and delivering end-user products.</li>
</ul>
<h2><strong>Preferred

Qualifications

</strong></h2>
<ul>
<li>Master’s degree or higher in Computer Science, Engineering, Mathematics or related field</li>
<li>More than 5 years of full-time Software Engineering work experience</li>
<li>Proven experience building highly available distributed systems (at Uber scale) and working across multiple backend services</li>
<li>Experience working on scalable backend systems utilizing a microservices architecture</li>
<li>High bar for quality as demonstrated by code reviews, documentation, unit and integration testing</li>
<li>Experience with optimization techniques and algorithmic development</li>
<li>Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis</li>
</ul>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Senior Engineering Manager - Membership

Backend, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber One is Uber’s powerhouse growth engine, commanding a global footprint of 45M+ members across 40 countries. At the heart of this success is the Membership Growth team—the architects of our member-first ecosystem. We are responsible for the end-to-end lifecycle of our most valuable users, driving sustained growth by engineering high-velocity solutions for acquisition, retention, and intelligent incentive optimization.

As a Senior Engineering Manager, you will lead a high-stakes organization of 20+ engineers and one reporting Engineering Manager. This role sits at the critical intersection of Product Engineering and Machine Learning. You will move the needle on global growth by building the next generation of Personalized Upsell and Retention Engines—moving from static rules to dynamic, model-driven experiences that deliver value to users at the exact moment of intent.

What You Will Do

• Organization Leadership: Lead and scale a multidisciplinary organization of 20+ engineers (Backend, Mobile, MLE and Web) and one reporting Engineering Manager.
• Personalization & Upsell Strategy: Architect systems that leverage real-time intent signals and propensity models to deliver personalized upsells across Uber and UberEats, ensuring we maximize conversion without cannibalizing organic growth.
• Drive "Big Bets": Formulate and execute the strategy for high-impact growth initiatives, such as global incentive targeting, multi-armed bandit experimentation frameworks, and intelligent churn prevention.
• MLE & Product Synergy: Lead a team of Machine Learning Engineers (MLEs) to translate business objectives into algorithmic formulations, bridging the gap between complex ML models and seamless user-facing product features.
• Vision & Roadmap: Partner with Product, Data Science, and Ops to define a compelling vision for growth that balances high-velocity experimentation with long-term platform stability.
• Hiring & Talent Development: Own the talent strategy for your group, including hiring top-tier talent and the professional development of your reporting Engineering Manager.

Basic Qualifications

• Analytical Mindset & Experimentation: Proven ability to navigate A/B testing, data-driven decision-making, and ambiguous business problems. You must be comfortable defining success metrics and iterating based on data.
• Communication & Stakeholder Management: Exceptional communication skills with the ability to distill complex technical concepts for non-technical stakeholders and represent a large engineering group in global business discussions.
• Execution Excellence: Proven track record of delivering complex, cross-team projects with company-wide impact on time and with high quality.
• Education: Bachelors (or higher) in Computer Science, Engineering, or a related field.

Preferred Qualifications

• Management Track Record: 6+ years of experience managing engineering teams, with specific experience managing other Engineering Managers and large-scale organizations (20+ people).
• Technical Industry Experience: 12+ years of software engineering experience, with a deep understanding of distributed systems and scalable backend architecture.
• Growth Domain Expertise: Deep experience in the Growth space, specifically in Acquisition, Retention, and LTV (Lifetime Value) optimization.
• Leading Machine Learning Teams: Proven experience leading MLEs and a strong intuition for applying ML to product optimization and personalization at scale.
• Incentive Optimization: Experience building or leading teams that build "Personalization at Scale," utilizing ML for real-time offer surfacing and ranking (e.g., Multi-Armed Bandits).
• Operational Leadership: Ability to foster a culture that balances high-velocity experimentation with the 99.99% reliability required for a platform serving 45M+ users.

For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr Software Engineer, AV Sensor Observability

Backend, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Role

We are looking for a Senior Software Engineer to focus on Sensor Reliability Engineering, owning the observability, alerting, and automation that ensures Uber’s in-vehicle sensor data collection systems operate reliably at scale.

This role is centered on maximizing sensor uptime, data yield, and supply hours across a large, geographically distributed fleet. You will design systems that determine when to react to issues impacting data recording capability, whether caused by failing sensors, degraded onboard computers, software regressions, or systemic environmental factors.

As the technical owner for sensor reliability and observability, you will build the infrastructure that converts low-level signals into actionable intelligence and automated responses. This is a senior role requiring strong software engineering fundamentals, deep systems thinking, and the ability to drive cross-team technical direction without direct authority.

---- What the Candidate Will Do ----

1. Architect Observability Systems: Design and implement monitoring infrastructure for in-vehicle sensor packages and recording pipelines, covering signal ingestion, storage, and correlation.
2. Build for Edge Constraints: Develop systems that remain performant despite hardware diversity, intermittent connectivity, and rapid fleet scaling.
3. Define Criticality Models: Establish alerting strategies that distinguish transient anomalies from systemic issues impacting sensor uptime and data yield.
4. Detect Complex Failure Modes: Design detection logic for "silent" failures, such as sensor degradation, compute saturation, or recording pipeline stalls.
5. Scale Through Automation: Design automated detection, triage, and mitigation mechanisms to eliminate manual intervention as the fleet grows.
6. Partner on Mitigation: Collaborate with Operations and Engineering to build safe, automated responses to recurring hardware and software failure scenarios.
7. Enable Observability by Design: Partner with hardware and platform teams to define the signals and data contracts required for deep-stack visibility.
8. Drive Operational Efficiency: Build technical interfaces to help Operations surface issues and Engineering diagnose and deploy mitigations rapidly (TTD/TTM).
9. Own Modern Infrastructure: Lead the deployment and evolution of fleet-wide reporting systems using Infrastructure as Code (IaC) best practices.
10. Lead Technical Strategy: Drive reliability-focused design reviews and translate operational pain points into concrete technical requirements and high-priority roadmaps.

---- Basic Qualifications ----

1. Proficiency in one or more of Go, Python, or C++, with experience building and operating production systems.
2. Proficiency in Linux internals and shell scripting for triaging and debugging edge devices or hardware-adjacent systems.
3. Strong software engineering fundamentals with the ability to debug across services, containers (Docker), and networking stacks.
4. Proven experience owning reliability, infrastructure, or platform systems for large-scale production workloads.
5. Experience designing and operating observability systems, including metrics, logging, alerting, and dashboarding (e.g., Prometheus, Grafana).
6. Experience defining and implementing Service Level Indicators (SLIs) and Objectives (SLOs) for system availability or data yield.
7. Deep understanding of networking protocols (TCP/IP, gRPC, or MQTT) and data handling in bandwidth-constrained or intermittent environments.
8. Track record of driving complex technical projects and architectural reviews across multiple teams from design through production.

---- Preferred Qualifications ----

1. Experience leading large-scope reliability or infrastructure initiatives consistent with a Senior/Staff role.
2. Deep experience with modern observability platforms (e.g., Prometheus, Grafana, ELK), especially in edge, IoT, or hardware-integrated environments.
3. Experience designing alerting strategies and criticality models that balance signal quality, noise reduction, and operational impact.
4. Strong automation mindset, including building self-healing systems for automated detection, triage, or mitigation of hardware-related failures.
5. Experience operating systems where uptime, data yield, or hardware availability are core business KPIs.
6. Proven ability to design reliability systems that remain effective as hardware platforms, software stacks, and data collection workflows evolve.
7. Knowledge of sensor data protocols (e.g., Camera, LiDAR, Radar) or hardware-to-cloud data ingestion pipelines.
8. Experience with "Grey Failure" detection and management in complex, distributed systems.
9. Background in analyzing "Fleet-level" performance metrics to identify systemic regressions across software versions or hardware revisions.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Machine Learning Engineer – Ranking & Recommendations (Generative AI)

Machine Learning, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

Role Location: San Francisco, Sunnyvale, Seattle, or New York

About the Role

The Shopping Ranking Team mission is enabling eaters to effortlessly make shopping decisions and find what they need. We pursue this mission via an ML-driven algorithmic approach, applying state-of-the-art Machine Learning (ML), Optimization techniques to learn from massive datasets Uber has, and build a scalable and reliable shopping intelligence ranking and recommendation systems.

We are actively seeking individuals who excel in problem-solving and critical thinking, are proficient in coding, with proven track records of learning and growth, and have a deep interest in ML model, feature and infrastructure development. Candidates will have the opportunity to work across various lines, from infrastructure development to ML model development, productionalization, offering a diverse and enriching experience. Join us in our pursuit of excellence as we are building the next generation of Generative AI - shopping ranking and recommendation systems.

---- What the Candidate Will Do ----

1. Design and build Machine Learning models in Ranking and Recommendation domain.
2. Productionize and deploy these models for real-world application.
3. Review code and designs of teammates, providing constructive feedback.
4. Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.

---- Basic Qualifications ----

1. Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience.
2. 4+ years of ML experience and building ML models
3. Experience working with multiple multi-functional teams(product, science, product ops etc).
4. Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
5. Experience with big-data architecture, ETL frameworks and platforms, such as HDFS, Hive, MapReduce, Spark, , etc.
6. Working knowledge of latest ML technologies, and libraries, such as PyTorch, TensorFlow, Ray, etc.
7. Proven track records of being a fast learner and go-getter, with willingness to get out of the comfort zone.

---- Preferred Qualifications ----

1. Experience with building ranking and recommendation systems in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
2. Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact.
3. Experience with design and architecture of ML systems and workflows.
4. Experience owning and delivering a technically challenging, multi-quarter project end to end.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr Software Engineer

Backend, Engineering

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The Mobility Simulation & Planning (MSP) Orchestration group transforms business strategies into actionable, optimized plans for Ops to effectively manage incentives and pricing. This group implements the core optimization algorithms behind each planning product, develops how Ops interacts with these products, manages the API between planning and real-time systems and makes sure the planning products run reliably and produce high-quality results.

What you will do:

1. Design and build next-generation tools that power and visualize investment decisions, enabling smarter, data-driven strategies across the business.
2. Lead cross-functionally with Engineering, Product, and Operations teams to deliver scalable systems and intuitive user experiences that drive business impact.
3. Solve complex technical challenges in distributed systems, ensuring performance, reliability, and scalability at global scale.

Basic Qualifications

1. Bachelor’s degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related field
2. 4+ years of hands-on software engineering experience
3. Proficiency in Python, Go, or a general-purpose language such as Java
4. Familiarity with microservices and API design
5. Passion for building performant and scalable systems

Preferred Qualifications

1. Proven ability to build scalable, reliable, and distributed systems
2. Strong understanding of HTTP/REST/GraphQL, and experience with gRPC or Protobuf
3. Experience working w/ large datasets and data pipeline orchestrations
4. Proficiency in Python

For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Machine Learning Engineer - Marketplace Pricing

Machine Learning, Engineering

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.

We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team’s technical direction and solve some of Uber’s most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.

What You Will Do

• Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence
• Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
• Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
• Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

Basic Qualifications

• Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
• 6+ years experience leading the development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters
• Proficiency in programming languages such as Python, Scala, Java, or Go
• Proficiency with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
• Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
• Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
• Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. multi-objective, LP, convex optimization)

Preferred Qualifications

• Experience developing multi-year technical strategies and cross-team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others
• Track record of translating complex business problems into technical solutions and driving multi-functional projects across multiple teams
• Excellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross-functional teams
• Proficiency in reinforcement learning and causal machine learning

For New York, NY-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Engineering Manager II, Machine Learning – Rider Pricing & Incentives

Machine Learning, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Team

Uber Marketplace is at the heart of Uber’s business, with Rider Pricing & Incentives playing a critical role by setting prices and targeting promotions for Uber riders. Our team’s mission is to drive revenue growth, ridership growth and Uber’s profitability through advanced machine learning and data science. We build reliable, scalable platforms that optimize rider pricing, real-time and offline promotions, including discounts, and personalized messaging.

The Rider Pricing & Incentives team is a fast-moving, high-opportunity space where you’ll have the chance to make a significant impact on the business. You’ll take ownership of one key pillar of the promotions or rider pricing domain and lead the technical direction for improving our pricing algorithms, promotion algorithms and models. You will work across ML, serving, and optimization system components, and set technical direction for modeling best practices across model building, evaluation and deployment.

About the Role

In this role, you'll apply advanced machine learning technologies—including deep learning, generative AI for personalized communications, causal modeling, and reinforcement learning—to optimize pricing strategies and promotional systems. You will also work with serving infrastructure and product teams to design and evolve the rider pricing and promotions systems to support new product and algorithm evolutions, promotion use cases and drive Uber’s top-line rider and revenue growth.

What You'll Do

• Manage a group of SWEs and MLEs working on rider pricing and promotions to develop and implement new machine learning and optimization techniques powering billions of rides around the world, and helping riders achieve their mobility needs.
• Improve the performance of models and algorithms powering pricing algorithms and promotion targeting.
• Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap.
• Mentor more junior team members by role modeling ML best practices. Collaborate with cross-functional teams to ensure alignment and drive Uber’s ridership and revenue growth. Help Uber’s end-users by making mobility options accessible and affordable.

Basic Qualifications

• Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 7+ years of full-time engineering experience.
• Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go).
• Experience with machine learning and optimization algorithms.

Preferred Qualifications

• PhD in Computer Science, Engineering, Mathematics, or a related field, with 2+ years of full-time engineering experience.
• Experience solving complex business problems by translating them into machine learning and optimization solutions.
• Familiarity with large-scale data systems (e.g., Spark, Hive) and experience building production-ready algorithmic systems.
• Strong background in deep learning, generative AI, causal modeling, and reinforcement learning.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr Software Engineer - Fulfillment Logistics

Backend, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

The Fulfillment platform is the foundation powering the logistics behind fulfilling user orders from any Uber app. It operates life cycles of orders, trips, drivers, eaters, and other user sessions when they interact with Uber. These interactions are real-time and high-scale when millions of concurrent riders, drivers, and eaters are using Uber. We support both Uber Rider businesses (pool, airports, hourly rentals, intercity trips, reservations, package delivery, uber health) and Uber Delivery businesses (groceries, uber eats, delivery API).

Our tech challenges are in both the business layer (data modeling of complex products, building reusable higher order business APIs to share across products) and the Infrastructure layer (storing high write & transient data, language framework, search & ranking, events & data streaming systems)

We are looking for a Software Engineer to join the Fulfillment logistics (Supply and Order Fulfillment) team. Over the next few years, this team will be innovating with new offerings such as Autonomous Vehicles integrations, Multi-Job Orders, Digital and Field Tasks, Third-Party Drivers, and Package Delivery, while reimagining and re-envisioning the Fulfillment Platform end to end. This is a high-impact role where you will partner closely with Engineering, Product, and Operations leaders across the company to launch new products, scale critical platforms, and improve the overall efficiency, reliability, and performance of the Uber marketplace.

You can get a glimpse of the work we do in Fulfillment

1. https://eng.uber.com/fulfillment-platform-rearchitecture/
2. https://eng.uber.com/building-ubers-fulfillment-platform/

What you will do

1. Collaborate in a team environment with significant ownership and autonomy over projects.
2. Work on the next phase of fulfillment and product lines for our 1P, 3P, and SaaS customers, addressing significant organizational-level challenges that impact Uber's operations.
3. Design, develop and deliver high-quality features promptly with accountability.
4. Partner with engineering managers, product managers, and other engineering teams to define project requirements and execution plans.
5. Ensure that system designs, including APIs, architecture, and dependency selection, result in scalable, resilient solutions that minimize support costs and enhance the partner experience.

Basic Qualifications

1. A Bachelor's Degree in Computer Science or a related field (or equivalent experience).
2. At least 4+ years of professional experience in software development.
3. Strong understanding of computer science fundamentals, including object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
4. Proficient in at least one programming language, such as Golang, Java, C#, or C++.
5. Experience working with distributed systems.
6. Effective communication skills to interact with engineers, technical teams, and senior management to gather requirements, and describe software product features, technical designs, and product strategy.

Preferred Qualifications

1. MS / Ph.D. in Computer Science or related field.
2. Experience managing production systems with a strong availability SLA.
3. Knowledgeable in software engineering best practices throughout the entire software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
4. Experience working with large-scale distributed systems

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Software Engineer - Fullstack, Grocery

Fullstack, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Role

Grocery is Uber’s fastest growing business line, delighting customers with next-hour delivery of household essentials from their favorite local stores. The Shopper Experience team is focused on building best-in-class products and technology to help shoppers fulfill grocery orders.

The Shopper Experience team is looking for a strong full-stack web engineer to help build the next generation of fulfillment tools to allow shoppers to quickly and accurately pick and pack items. As a full-stack engineer, you'll be responsible for features from the inception to launch. You'll collaborate closely with engineers across the tech stack and be expected to give input on how we design new experiences for our shoppers.

What the Candidate Will Do

• Work through the entire software engineering lifecycle, including partnering with product teams to define requirements to create new or evolve existing systems, designing, implementing, testing, launching and maintaining world-class high-availability and high-traffic services.
• Join on call rotation, driving continuous improvements on system availability, scalability, performance and efficiency.
• Provide technical leadership, influence fellow engineers and role model solid engineering practices.
• Collaborate with other infrastructure teams, production engineer team and product manager to drive adoption and best practices, and to design and implement high impact, cross-product features.

Basic Qualifications

• Bachelor or equivalent in Computer Science, Engineering, Mathematics or related field AND 5-years full-time Software Engineering work experience, WHICH INCLUDES in one or more of the following areas:
• Programming language (e.g. C, C++, Java, Python, or Go) and web technologies.

Preferred Qualifications

• Product engineering
• Fullstack Development
• Distributed Systems

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Engineering Manager II, Container Platform

Manager, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber is looking for an Engineering Manager to lead a team within our Platform Infrastructure group.

The Platform team’s mission is to build the next generation of Uber’s container orchestration platform on Kubernetes that is secure, reliable, scalable, and highly efficient. At Uber we have a complex infrastructure spanning both on-prem data centers and cloud. It supports a diverse variety of workloads (stateless, batch, streaming, ML/AI, stateful), each different in its characteristics and requirements.

What the Candidate Will Do ----

1. Provide product and technical leadership, setting team direction and goals by identifying technical priorities and opportunities, managing expectations, and considering tradeoffs.
2. Empower delivery by forming actionable plans, allocating responsibilities, and maintaining productivity across engineering teams with well-defined goals and metrics.
3. Manage and grow individual team members, attract and recruit new talent responsible for ever-growing technical challenges
4. Collaborate across many areas of Uber, work with other technical, product and operation leaders across the Globe

---- Basic Qualifications ----

1. Bachelor’s Degree or equivalent in Computer Science, Engineering, or related field
2. 8+ years of professional Software Development experience building products and platforms
3. 2+ years of experience leading functional areas as a Tech Lead / Engineering Manager.

---- Preferred Qualifications ----

1. Background in large-scale backend infrastructure
2. 5+ years of experience building large scale infrastructure systems.
3. Strong leadership skills and technical expertise; ability to lead a platform team with deep domain knowledge and solve technical challenges through system design and problem-solving
4. Proven ability to collaborate effectively across different functions and with diverse stakeholders.
5. Demonstrated leadership experience in improving reliability and efficiency of business critical services.
6. Working experience in cluster management solutions such as Kubernetes or Mesos

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Software Engineer

Backend, Engineering

Seattle, Washington |

Sunnyvale, California

Full Time

Apply Now

About the Role

You will drive the development and operations of security services and frameworks that protect Uber’s user-facing products and core platforms. This role is ideal for a strong software engineer with a machine learning background who is excited to apply ML/GenAI techniques to real-world security problems at scale.

The security landscape evolves constantly—and with the rise of ML/GenAI and the growing volume of heterogeneous signals (logs, events, graph data, identity signals, endpoints, network telemetry), the attack surface expands just as quickly. You will design and build robust, scalable systems and data pipelines that enable detection, investigation, and automated response—turning noisy telemetry into actionable security insights. You’ll collaborate closely with security leadership and partner engineering teams to embed security-by-design across Uber’s technology stack.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Build ML-powered security systems: Design, develop, and operate software and services that improve Uber’s security posture, with a focus on detection, classification, and risk scoring.
2. Develop backend infrastructure and ETL pipelines: Build reliable data ingestion, transformation, and feature pipelines to support security analytics and machine learning workflows.
3. Productionize ML for security use cases: Help take models from experimentation to deployment—owning performance, scalability, monitoring, and model/data quality in production.
4. Code review and testing: Maintain high engineering standards through design reviews, code reviews, testing, and operational excellence.
5. Cross-functional collaboration: Partner with teams like network operations, incident response, and compliance to ensure cohesive, end-to-end security outcomes.

---- Basic Qualifications ----

1. BS/MS in Computer Science or a related field
2. 7+ years of industry experience in a software development environment
3. Proficiency in one or more of Golang, SQL, Python
4. Hands-on experience building and operating distributed systems
5. Hands-on experience with machine learning (e.g., feature engineering, training/evaluation, or deploying models)
6. Experience leading projects with global, cross-functional stakeholders
7. Experience mentoring and guiding junior engineers

---- Preferred Qualifications ----

1. Experience with security detection engineering (threat detection, alerting, triage) and/or threat emulation
2. Experience with streaming data processing (e.g., Flink)
3. Experience with deep learning and/or LLM/GenAI approaches applied to security signals
4. Experience with anomaly detection, graph-based detection, or statistical/ML methods for identifying abuse or attacks

For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Security Engineer

Security Engineer, Engineering

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

As a Staff Security Engineer, you will be the lead architect for Uber’s next-generation cloud security infrastructure. Operating at the intersection of Cloud Architecture and Applied AI, you will move beyond static controls to build a dynamic, autonomous security ecosystem across our multi-cloud estate, especially GCP and OCI.

Your mission is to transform Cloud Security Posture Management (CSPM) from a reactive alerting system into a proactive, self-healing machine. You will spearhead the use of GenAI and AI Agent Orchestration to automate complex security reasoning—building intelligent agents that can independently analyze, prioritize, and remediate exploitable risks at scale.

You will also provide security design solutions to support Uber's new business initiatives to ensure secure-by-design and compliance.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

• Strategic Architecture: Define the long-term roadmap for Identity-centric security and automated posture management for tens of thousands cloud users.
• AI Orchestration: Design and deploy Multi-Agent systems and RAG pipelines to automate the end-to-end security remediation lifecycle.
• Scaling Control: Implement "LLM-as-a-Judge" frameworks to ensure the safety and precision of autonomous security actions.
• Harden the Perimeter: Eliminate security hotspots and enforce secure-by-default baselines across all cloud platforms.
• Technical Leadership: Serve as a force-multiplier, mentoring engineers and bridging the gap between security research and production engineering.

---- Basic Qualifications ----

• Multi-Cloud Expertise: 5+ years of experience in Cloud Security, with direct, hands-on experience architecting and securing Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI).
• Security Posture Management: Expert-level understanding of CSPM frameworks, Deep knowledge of IAM, Network, vulnerability management (CVE reachability), and the automation of security baselines at scale.
• Backend Systems Engineering: Proven track record of building scalable distributed systems (Go, Python, or Java) and managing complex security pipelines in large-scale environments.
• Applied GenAI: Professional experience with LLM application development, including RAG patterns, vector databases, and AI Agent orchestration frameworks (e.g., LangChain, AutoGen).

---- Preferred Qualifications ----

• Strategic Translation & Execution: Proven ability to translate complex business objectives and regulatory compliance requirements (e.g., SOX, GDPR, PCI) into high-level architectural designs and actionable technical roadmaps. You should have a track record of bridging the gap between legal/audit stakeholders and engineering execution.
• Security Innovation: Experience pioneering the use of emerging technologies to solve legacy security debt, specifically using AI/ML to automate compliance auditing or to perform predictive risk analysis.
• Cross-Functional Influence: A history of leading large-scale security transformations by influencing senior leadership and partnering with DevOps/Infrastructure teams to adopt "Security-as-Code" practices.
• CNAPP Proficiency: Extensive experience operationalizing Cloud-Native Application Protection Platforms (CNAPP) such as Wiz or Orca. Must be able to leverage these tools for deep visibility, risk prioritization (attack path analysis), and automated compliance monitoring.

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr. Security Investigator

Security Engineer, Engineering

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The CyberSecurity Incident Response team (CIRT) is at the forefront of protecting Uber. We are a hands-on, fast-paced team that responds to security incidents, conducts forensic investigations, and builds automated solutions to scale our defenses.

As a Senior Security Investigator, your role is to lead complex, high-impact security investigations across a global, large-scale environment. This role is ideal for a seasoned security professional who excels at uncovering sophisticated threats, driving automation at scale, shaping investigative strategy, and mentoring teams to deliver world-class response.

You will partner with Security Engineering, Detection & Response, Threat Intelligence, Legal, HR, and Executive Leadership to contain threats, protect user and corporate data, and elevate our overall security posture.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Lead complex security investigations end-to-end and perform deep forensic analysis across endpoints, cloud environments, identity systems, networks, and application logs to uncover root cause and attack paths.
2. Own & Build automation and tooling to accelerate evidence collection, log enrichment, triage workflows, and decision-making at global scale.
3. Improve detection and response capabilities by partnering with Threat Intelligence, Detection Engineering, and Platform teams.
4. Lead major cross-functional security initiatives that strengthen investigative readiness, digital forensics, cloud incident response, and threat-hunting capabilities.
5. Mentor and develop investigators and analysts, providing technical guidance, reviewing casework, and elevating investigative rigor.
6. Continuously evolve investigation methodology by analyzing trends, identifying gaps, and embedding lessons learned back into the security ecosystem.

---- Basic Qualifications ----

1. Bachelor's degree in Computer Science, Information Security, or a related field..
2. 5+ years of experience in Security Investigations, Incident Response, Threat Hunting, or Digital Forensics within large-scale or high-risk environments.
3. Proven expertise with forensic tooling, log analysis, SIEM platforms, EDR solutions, and cloud investigation workflows (AWS/GCP/Azure).
4. Strong understanding of attacker TTPs, modern threat landscape, and frameworks like MITRE ATT&CK.
5. Hands-on experience building automation using Python, APIs, SOAR, or equivalent frameworks.
6. Ability to lead complex investigations end-to-end and communicate findings effectively to senior leadership.
7. Experience running or contributing to large cross-company security projects.

---- Preferred Qualifications ----

1. Experience in a large-scale, global, distributed systems environments
2. Knowledge of identity ecosystems (Okta, Azure AD), container security, and SaaS platform logs.
3. Experience in a programming language (e.g., Python, Go, C++, Java, etc) for incident response related automation and data analysis.
4. Experience with GenAI in incident response and investigations is a plus.
5. Experience mentoring or leading security teams.

For San Francisco, CA-based roles: The base salary range for this role is USD$180,000 per year - USD$200,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$180,000 per year - USD$200,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$180,000 per year - USD$200,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<h1><strong>About the role:</strong></h1>
<p>We're seeking an exceptional Staff Engineer to lead the marketplace simulation, control systems and data infrastructure powering Uber's millions rides daily. This role demands a proven track record of extraordinary technical leadership and innovative solutions at world-class technology companies.</p>
<p>You’ll architect and scale supply pricing simulation infrastructure and control systems processing terabytes of data daily, build the next generation of joint simulation systems spanning rider pricing, driver pricing, and matching, and design clean interfaces between supply pricing and broader marketplace optimization systems. You’ll also build supply pricing data foundation and optimize batch and streaming pipelines. This work directly impacts marketplace efficiency and offers a unique opportunity to tackle deep technical challenges across data, real-time optimization, distributed systems, and marketplace dynamics.</p>
<h1><strong>What the Candidate will do:</strong></h1>
<p>You’ll be working on infrastructure that directly affects millions of drivers’ livelihoods and riders’ experiences every day. Our pricing systems process billions of batch and real-time decisions, balancing marketplace efficiency, driver earnings, and rider satisfaction. You’ll have the opportunity to:</p>
<ul>
<li>Solve unique technical challenges at the intersection of batch and real-time optimization</li>
<li>Build marketplace simulation infrastructure that powers one of the world’s largest marketplace platforms</li>
<li>Work with cutting-edge pricing algorithms and ML systems that operate at unprecedented scale</li>
<li>Shape the technical direction of critical business infrastructure with direct P&L impact</li>
</ul>
<p><strong>Technical Leadership & Architecture</strong></p>
<ul>
<li>Architect simulation, optimization and control (PID controller) systems.</li>
<li>Drive innovation in data infrastructure design, build a data foundation, improve data quality, and improve the efficiency of compute-intensive jobs.</li>
<li>Design interfaces between driver pricing and other Marketplace optimization systems to ensure both accuracy and efficiency.</li>
</ul>
<p><strong>Cross-Functional Impact</strong></p>
<ul>
<li>Collaborate with engineering teams across Marketplace to build a top-quality joint simulation framework, improve simulation accuracy, and improve algorithm iteration velocity.</li>
<li>Partner with Data Science and Product teams to build a unified infrastructure supporting pricing algorithms and marketplace optimization</li>
</ul>
<p><strong>Engineering Excellence & Leadership</strong></p>
<ul>
<li>Mentor senior engineers and grow technical leadership capability across the marketplace organization</li>
<li>Establish engineering standards, team processes, architectural patterns, and operational excellence practices</li>
</ul>
<h1><strong>Basic

Qualifications

</strong></h1>
<ul>
<li><p>Computer Science degree or equivalent technical education</p></li>
<li><p>8+ years building large-scale backend or platform systems at Staff/Principal scope.</p></li>
<li><p>Experience operating compute-intensive and data-intensive systems at scale, including capacity planning and cost efficiency in cloud environments</p></li>
<li><p>Strong data infrastructure background, experience in optimizing data foundation and pipeline efficiency.</p></li>
<li><p>Strong system design and algorithmic problem-solving skills</p></li>
<li><p>Experience partnering with Data Science / ML teams</p></li>
<li><p>Proven technical leadership across teams and org boundaries</p></li>
<li><p>Drive architecture decisions across org boundaries</p></li>
<li><p>Mentor senior engineers</p></li>
<li><p>Set long-term technical direction and quality bar</p></li>
</ul>
<h1><strong>Preferred

Qualifications

</strong></h1>
<ul>
<li><p>Background in pricing, ads, recommendations, or other areas involving optimization and control systems.</p></li>
<li><p>Hands-on experience designing or operating simulations and control systems</p></li>
<li><p>Improving simulation accuracy</p></li>
<li><p>Modernizing legacy simulation infrastructure with measurable improvements in accuracy, cost, or velocity</p></li>
<li><p>Strong understanding of simulation evaluation, including simulation bias, feedback loops, and calibration techniques</p></li>
<li><p>Familiarity with optimization techniques (e.g., stochastic optimization, Monte Carlo methods, heuristic search) applied at scale</p></li>
<li><p>Exceptional technical craftsmanship with a passion for solving complex, real-world problems at massive scale</p></li>
<li><p>Marketplace mindset: Understanding of supply/demand dynamics and real-time optimization challenges</p></li>
<li><p>Innovation and ownership: Ability to identify breakthrough opportunities and drive them to completion</p></li>
<li><p>Data-driven decision making: Comfort with ambiguity and bias toward measurable impact</p></li>
<li><p>Collaborative leadership: Ability to influence across organizations and build consensus around technical direction</p></li>
</ul>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

<p><strong>About the Role</strong></p>
<p>The Developer Platform’s vision is to be the industry leader for how developers build high-quality software productively at scale. Our mission is to Enable Uber developers to build high-quality software consistently and without frustration.</p>
<p>At Uber the Developer Platform teams build the technical foundation for engineers to develop the future of mobility. Our engineering community depends on us to develop centralized solutions to support each part of the development life cycle from writing the first line of code to shipping software to production that touches millions of users. We have a unique opportunity to work across Uber’s products to solve for scale and impact company wide technical roadmaps.</p>
<p>What the Candidate Will Do ----</p>
<h5><strong>Technical Leadership & Strategy</strong></h5>
<ol>
<li>Own the technical strategy and roadmap for Backend Testing Infrastructure Platform</li>
<li>Lead development of services responsible for backend testing</li>
<li>Ensure systems are scalable, reliable, observable, and performant at large scale</li>
<li>Drive architectural clarity across different systems</li>
<li>Partner with Product team and Key stakeholders for Prioritization</li>
</ol>
<h5><strong>Team Leadership & Development</strong></h5>
<ol>
<li>Hire, grow, and develop a team of talented engineers, including senior and staff-level engineers</li>
<li>Provide technical guidance, coaching, and career development support</li>
<li>Establish clear ownership, operational excellence, and strong engineering fundamentals</li>
<li>Foster a culture of ownership, accountability, and continuous improvement</li>
</ol>
<h5><strong>Cross-Functional Collaboration</strong></h5>
<ol>
<li>Partner closely with Product, and Platform teams</li>
<li>Align technical roadmaps across multiple teams and organizational boundaries</li>
<li>Drive clarity around ownership, interfaces, and system responsibilities</li>
</ol>
<h5><strong>Execution & Operational Excellence</strong></h5>
<ol>
<li>Deliver high-impact infrastructure that improves product relevance and user experience</li>
<li>Improve system reliability, latency, observability, and debugability</li>
<li>Establish strong engineering processes around design reviews, operational readiness, and incident response</li>
<li>Ensure the team executes effectively against both foundational investments and product-enabling work</li>
</ol>
<p>---- Basic Qualifications ----</p>
<ol>
<li>9+ years of software engineering experience</li>
<li>3+ years of engineering management experience</li>
<li>Experience building and operating distributed systems at scale</li>
<li>Experience leading projects involving backend systems, infrastructure, or platform development</li>
<li>Strong technical background in system architecture and backend engineering</li>
<li>Experience hiring, developing, and managing engineers</li>
</ol>
<p>---- Preferred Qualifications ----</p>
<ol>
<li>Experience building platform or infrastructure teams</li>
<li>Experience building high-scale backend systems serving large user bases</li>
<li>Experience improving system reliability, performance, and observability</li>
<li>Experience defining technical strategy and long-term architectural direction</li>
<li>Experience managing senior or staff-level engineers</li>
</ol>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Sr Software Engineer - Incentives Platform

Backend, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber is looking for a Software Engineer to join our Incentive Platform team. This team works at the core of Uber’s marketplace, ensuring that drivers and couriers are incentivized to stay engaged on the platform.

Generating and delivering the right incentives is one of Uber’s most complex engineering challenges, requiring a sophisticated orchestration between dynamic marketplace signals and a seamless driver experience.

The platform requires expertise in high-scale distributed processing, micro-services, and machine learning infrastructure. As a Senior Engineer, you’ll play a key role in evolving our systems, driving efficiency, and pioneering Uber’s next-generation ML-powered incentive ecosystem. This is a rare opportunity to own a business-critical domain with massive global impact."

Some of the problems you’ll be working on include:

1. Scaling a Global Incentive Engine: Architect and operate a high-throughput platform that powers millions of incentives across thousands of cities in real-time.
2. Extensible Architecture: Build modular, extensible systems that allow our incentive mechanisms to evolve. You’ll ensure our architecture stays ahead of the curve as we expand our range of personalized and contextually relevant products.
3. ML-Integrated Backends: Build the infrastructure that makes our algorithms effective. You’ll create robust workflows for ML inference and optimization, directly influencing how incentives are generated and delivered at Uber scale.

What the Candidate Will Do ----

1. Development and scaling of a global platform that drives motivation and retention for Uber’s massive earner base
2. Design modular systems that accelerate product innovation without rework
3. Optimize for fairness, efficiency, and marketplace health at global scale
4. Collaborate across product, infra, and ML teams to deliver business-critical impact

---- Basic Qualifications ----

1. 5+ years of experience driving the full software development lifecycle - from initial requirement gathering and system design to global deployment and post-launch monitoring and optimization as an individual contributor.
2. Strong coding fundamentals in modern languages such as Go, Java, or C++.
3. Fast and passionate learner. Strong collaboration, documentation and communication skills.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Engineering Manager II, Marketplace Pricing

Manager, Engineering

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. The leaders of the team guide the work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior leaders within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced organizational leaders.

We are looking for an exceptional Tech Lead Manager (TLM) or Engineering Manager (EM) with a track record of extraordinary impact and with a passion for building high-velocity engineering teams and large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead a team of top-tier engineers to design, develop, and productionize advanced ML models and pricing algorithms, involving deep learning, causal modeling, and reinforcement learning. You will work with peer EMs, cross-functional partners, and managers outside the org to translate company priorities into multi-year technical strategies and cross-team platform architecture. You will solve some of Uber’s most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.

What You Will Do

• Lead a team of exceptional engineers and cross-functional partners to design and deliver high-impact technical solutions to complex business problems
• Drive organizational and technical strategy as well as roadmap ownership over a multi-year horizon and lead the implementation, including executive communication and alignment, platform-level architecture decisions, and cross-team leadership
• Lead and delegate the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
• Guide tech leads on developing novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
• Hire, develop, and retain top-tier MLEs while fostering a culture centered on teamwork, technical excellence, smart risk taking, and inclusivity

Basic Qualifications

• Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
• 8+ years of experience leading the development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters
• Experience driving timely execution through effective delegation, empowering tech leads, and leading cross-team alignment by setting clear priorities, incorporating input from diverse stakeholders, and resolving trade-offs between short term and long term priorities
• Proficiency upholding high standards of quality, reliability, and operational excellence through efficient review processes and data-driven process improvements
• Proficiency in programming languages such as Python, Scala, Java, or Go
• Proficiency with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
• Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
• Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
• Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. multi-objective, LP, convex optimization). Proficiency in reinforcement learning and causal machine learning

Preferred Qualifications

• 2+ years of leadership experience managing engineering teams as TLM or EM. Track record of delivering outstanding business impact for several multi-functional programs, products or platforms over multiple halves
• Proficiency translating complex business problems into multi-year technical strategies and cross-team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output across multiple teams
• Excellent communication and collaboration skills to lead initiatives across multiple teams and build strong relationships with peer managers, cross-functional partners, and managers outside the org
• Experience in hiring, developing, and retaining top-tier talent, and experience in designing a team with the right composition of skills and seniority to deliver against business goals

For New York, NY-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Machine Learning Engineer - Moonshot AI

Machine Learning, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the role

Uber AI Solutions is one of Uber’s biggest bets with the ambition to build one of the world’s largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems.

We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc..

In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You’ll help grow Uber AI Solutions into a leader in the space.

What the candidate will do:

• Contribute to and influence the technical direction for Uber AI Solutions, particularly around ML applications and research.
• Identify and choose the right problems that will benefit from ML expertise.
• Design and develop a suite of ML models that will help solve the above problems.
• Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms.
• Explore novel ideas and innovative solutions that can lead to a step change in our products
• Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly.
• Provide mentorship to engineers on the team and across partner orgs to help raise the technical bar.

Basic Qualifications

1. Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline.
2. Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI.
3. Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems.
4. Excellent problem-solving and analytical abilities.
5. Proven ability to collaborate effectively as a team player.

Preferred Qualifications

1. 8+ years of industry experience in ML/AI.
2. A strong publication record in top-tier AI/ML conferences and journals, demonstrating a history of impactful research.
3. Proven track record of training large models on distributed infrastructure.
4. Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach.
5. Experience collaborating effectively across an organization, not limited to just within teams.

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Software Engineer

Backend, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Role

Uber's Commerce Engineering group is responsible for maintaining and enhancing the infrastructure for orders and payments that enables all lines of businesses across Uber to conduct business. All commerce in and out of Uber flows through these mission-critical systems. With strict 4 9’s availability requirements, this is one of our largest scalable systems and the complex day-to-day interactions require careful coordination from engineers that have a deep sense of quality, security, and ingenuity. The Money Platform team owns the lifecycle of money movement for all orders (ridesharing trips, freight loads, eats orders, etc.) from beginning to end. As a critical central platform, we straddle the line between infrastructure and product in such a way that we solve deep technical challenges, at scale, in problem domains that are specific to Uber’s business. As a backend engineer on the Money Platform, you’ll be writing reliable and maintainable code that teams across the company rely on while collaborating extensively with those teams to anticipate the platform features required to enable them to launch new and innovative products.

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving around the world.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Work on payments platform as a tech lead backend engineer creating solutions catering to Uber's different lines of businesses
2. Be the advocate and design guardian for payments platform to solve business use cases working closely with core teams within Uber
3. Autonomously lead and deliver the project working with Product and other business functions
4. Create forward looking technical vision aligned with Uber's business priorities to evolve existing platform to its next iteration.
5. Mentor other engineers within and outside the team to be a force multiplier for the Company.

---- Basic Qualifications ----

1. Bachelor's or Master's degree in Computer Science or equivalent 8+ years of experience with systems software engineering.
2. Sound understanding of computer architecture and CS fundamentals.
3. Strong problem solving and coding skills demonstrated by solid academic or research projects
4. Demonstrated experience in leading large scale projects from concept to delivery while uplifting other engineers working with them.
5. Experience with Software Development processes such as design, planning, implementation, maintenance & documentation Demonstrated experience working collaboratively in cross-functional teams
6. Passion for learning new technologies, domains, and challenging the status quo.
7. Grit, drive and a strong feeling of ownership coupled with collaboration.

---- Preferred Qualifications ----

1. Payments Experience
2. Distributed systems experience
3. Held Sr IC title at a large scale company like Uber for past 2-3 years

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>Grocery is Uber’s newest and fastest growing business line, delighting customers with next-hour delivery of household essentials from their favorite local stores. The Grocery Fulfillment org is focused on building best-in-class technology and products to support consumers and shoppers in fulfilling grocery orders - from the moment an order is placed, until it is successfully delivered to consumers. The org works with key platform teams across Uber to build tailored fulfillment capabilities for Grocery and Retail.</p>
<p>The Grocery Fulfillment team is looking for a Staff Engineer to help lead the team’s ambitious and fast-paced technical strategy, with a focus on fulfillment and logistics optimization. This is an important and visible role with a potential for significant impact on the fast growing grocery business. The IC lead will work across multiple Grocery Fulfillment initiatives, and collaborate with engineering, product and data science leads to help build platforms and products that power the grocery business. For an IC lead with technical depth, hands-on execution muscle and strong business sense, this will be an excellent opportunity to learn, succeed and grow at Uber.</p>
<p><strong>What the Candidate Will Do:</strong></p>
<ul>
<li>Lead and inspire a team of engineers working on grocery fulfillment capabilities</li>
<li>Strategize and drive our fulfillment architecture focusing on scalability, reliability, performance, and cost efficiency</li>
<li>Work closely with product teams to understand business requirements and translate them into robust technical solutions</li>
<li>Build relationships and influence across key platform teams at Uber, and partner in building high impact solutions</li>
<li>Lean on technical experience to facilitate technical decision making and raise the bar on the team’s engineering craft</li>
</ul>
<p><strong>Basic

Qualifications

</strong></p>
<ul>
<li>BS degree in Computer Science or related field with over 7 years of industry experience</li>
<li>A proven track record of excellence at the Staff Engineer level or higher within a leading technology company</li>
<li>In-depth, hands-on experience with large-scale distributed systems in a production environment.</li>
<li>Bias for action, and thriving in a fast-paced engineering culture to solve business problems and compound impact</li>
<li>Proficiency in programming languages like (C, C++, Java, Python, or Go)</li>
<li>Exceptional communication skills with the ability to engage effectively with both technical and non-technical stakeholders</li>
<li>Demonstrated leadership in mentoring a team of backend and mobile engineers</li>
</ul>
<p><strong>Preferred

Qualifications

</strong></p>
<ul>
<li>Masters or PhD in computer science or related field</li>
<li>Domain knowledge in fulfillment optimization, marketplace or related areas</li>
<li>Experience working on linear optimization problems</li>
<li>Experience with delivery or transportation logistics</li>
</ul>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Senior Software Engineer - Marketplace Real Time Supply Intelligence

Backend, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

We're looking for a highly skilled Senior Engineer to help design and scale the technical solution behind Uber’s real-time dynamic pricing systems, which serve millions of riders and drivers worldwide.

In this role, you’ll design, build and optimize large-scale, low-latency systems that power pricing decisions across Uber’s marketplace. You’ll work on the product iteration with the platform that handles over 1 million QPS, ensuring pricing is accurate, timely, and resilient in the face of real-world volatility. You’ll collaborate closely with engineers across platform, ML modeling, and data to implement performant, reliable, and maintainable services.

This is a unique opportunity to tackle technically challenging problems at the intersection of real-time distributed systems, optimization, and ML, while contributing directly to Uber’s core platform efficiency and driver earnings.

Why This Role Matters

You’ll be working on the platform that directly affects millions of drivers’ livelihoods and riders’ experiences every day. Our pricing systems process billions of real-time decisions, balancing marketplace efficiency, driver earnings, and rider satisfaction. You’ll have the opportunity to:

1. Solve unique technical challenges at the intersection of real-time optimization and distributed systems
2. Work with cutting-edge pricing algorithms and ML systems that operate at unprecedented scale
3. Shape the technical direction of critical business with direct P&L impact

What the Candidate Will Do ----

1. Partner with Marketplace Product and science teams to build a unified solution for pricing algorithms iterations and marketplace optimization.
2. Collaborate with ML Engineering teams to build the MVP business product and scale model inference and real-time feature serving for pricing decisions
3. Partner with Platform Engineering teams to ensure 99.99% availability for critical pricing systems, and contribute to multi-quarter 'Pricing as a Platform' initiatives to enhance marketplace efficiency, pricing reliability, and developer velocity.
4. Mentor junior engineers and contribute to raising the technical bar across your immediate team and adjacent pricing teams.

---- Basic Qualifications ----

Exceptional Technical Background

1. Computer Science degree or equivalent technical education
2. 4+ years of industry experience with demonstrated exceptional technical impact.
3. Background at leading technology companies known for world-class infrastructure ( Meta, Amazon, Databricks, TikTok, Google, Netflix, Airbnb, or similar scale)

Deep Technical Expertise

1. Expert-level experience with large-scale distributed systems, handling millions of QPS or experience on optimization and simulation.
2. Proficiency in real-time streaming or batch processing (e.g., Kafka, Flink, Spark) and low-latency data systems.
3. Advanced knowledge of database technologies (e.g., MySQL, Hive, Redis) and caching strategies.
4. Experience with microservices architecture, service mesh, and observability at scale
5. Exceptional coding skills in Go, Java and python, with experience in high-performance system design.

---- Preferred Qualifications ----

1. Strong background in real-time system, math, optimization and simulation.
2. Worked on real-time infrastructure serving 100M+ users, or 1M+ QPS, achieved 10x+ performance improvements, and breakthrough technical innovations
3. Fundamental machine learning knowledge
4. Track record of operational excellence: incident management, SLA optimization, and system reliability

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr Software Engineer, Core Security Engineering

Backend, Engineering

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Core Security Engineering’s mission is to make the Uber production environment secure by default and provide industry leading products and services to all Uber's production services and infrastructure. We are focused on building both security primitives and end users products that help Uber engineers to secure their service, build trust, and advance security to enable our global business.

We are responsible for providing and managing systems, services, and libraries to provide access management, and enforcement at scale. The scope spans across multiple verticals like service-to-service authentication/authorization, employee to system auth, customer auth.

You’ll work on critical distributed services at a massive scale crafted with the best security practices at the forefront. You’ll be accountable for long term decisions on leveraging next generation infrastructure to continuously scale and operate such foundational security services.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

Coding: Writes high-quality code (i.e., reliable, readable, efficient, testable), provides quality code reviews, and creates comprehensive tests and quality documentation to solve moderately complex problems. This includes knowledge of data structures, algorithms, programming and associated programming languages and frameworks, and major phases/activities of the software research and development life cycle (e.g., requirements, design, build, experiment, test, debug, deploy, monitor). Monitors, reports, and ensures resolution of technical problems according to standards and best practices.

Design & Architecture: Works with stakeholders to understand customer and/or business requirements. Applies knowledge of software design principles and methods and evaluates trade-offs of different architectural decisions to contribute to the translation of requirements into effective design documents.

Efficiency & Being a Force Multiplier: Creates and promotes efficiency and speed within a team by leveraging and improving existing solutions. Proactively improves the performance and efficiency of own software and systems.

Operational Execution: Executes well-defined technical projects and solutions with drive and appropriate sense of urgency to deliver technical and business impact. Plans, organizes, and manages their own tasks, resources, and timelines to accomplish work accurately and on time. Defines and diagnoses problems and determines an appropriate solution, recommendation, or decision while logically evaluating alternatives and factors (e.g., resources, costs, trade offs).

Collaboration: Respects, listens to, and considers ideas/opinions of others from diverse backgrounds and experiences. Builds and maintains collaborative and trusting relationships with stakeholders within the team. Recognizes conflict or disputes among people and situations; seeks feedback and engages in open communication to resolve conflicts. Provides constructive and actionable feedback to others.

Citizenship: Enhances the effective functioning of Uber by participating in and promoting activities and efforts that contribute to the engineering and/or people culture in the team such as onboarding and mentoring new team members. Participates in internally-focused engagements (e.g., tech talks, open source, conferences, team building).

---- Basic Qualifications ----

Technical Competency: Maintains and applies relevant knowledge to build and maintain backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber, which could include developing and maintaining large-scale multi-tenant services and/or customized solutions based on existing backend infrastructure; monitoring on-prem or cloud-hosted software and infrastructure operations and detecting outages/issues in network or server environments; identifying, analyzing, and resolving system availability, reliability, and performance issues. Learns and applies Uber standards, best practices, and industry standards to own work. Helps define Uber technical standards for the team.

1. Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field AND minimum 6+ year full-time Software Engineering work experience.
2. Efficient in one or more programming languages (Go, Java, Python, C/C++)
3. Experience in large-scale systems, scalability and reliability
4. Experience in participating in on-call rotations for critical T0-T1 services
5. Some experience in the security field (IAM, Authentication, Authorization, Cryptography
6. Experience in mentoring junior engineers
7. Experience in leading medium-large projects, project planning, assigning works to junior engineers.

---- Preferred Qualifications ----

1. Domain expertise in Security related systems (Authentication, Authorization, Access, IAM, PKI, identity)
2. Experience in managing stakeholders and product teams
3. Experience in planning, project management, leading a small team as technical lead.
4. Experience in AI and ML on creating efficiency by automation

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr Software Engineer, Backend - Enterprise Identity

Backend, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Role

As a Sr. Software Engineer on the Enterprise Identity team at Uber, you will play a key role in developing Identity and Access Management (IAM) solutions which empower different line of business.

In this role, you will work closely with Engineering Managers, Product Managers, and cross-functional teams to design and implement scalable, secure, and high-performance systems. You'll contribute to building next-generation Enterprise Identity platforms that support various use-cases like Uber for Business, Merchants, Ads, Uber Direct, Fleets.

What You'll Do

1. Lead multiple high-impact cross-functional projects from conception to completion.
2. Build sophisticated identity solutions and scalable distributed systems and technologies to enable Uber to grow its business globally.
3. Collaborate with other teams, production engineer team and product manager to support engineering fundamental programs and drive adoption
4. Communicate and collaborate with other teams, both technical and non-technical
5. Provide insight into new technologies and work with the team to make architectural design decisions.

Basic Qualifications

1. Bachelor's degree in Computer Science or related technical field or equivalent practical experience
2. Experience hands-on coding using a general-purpose programming language (e.g. C/C++, Java, Python, Go, C#)

Preferred Qualifications

1. 6+ years of experience designing and implementing large-scale distributed systems
2. Excellent documentation, communication, and collaboration skills.
3. Experience in areas of Authentication, Security, Cryptography, Identity Management, Authorization, and Access Control
4. Experience with Google Spanner, OAuth 2.0, OpenID Connect, SAML, X.509, and other standard authentication protocols.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr Software Engineer - Matching ML Platform

Machine Learning, Engineering

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber is looking for a Software Engineer to join our Matching ML Platform team. This team sits at the core of Uber’s real-time marketplace, ensuring that riders and drivers are matched efficiently, fairly, and at scale.

Matching is one of Uber’s most complex and impactful engineering problems, requiring expertise in high-scale distributed systems, real-time decision-making, and machine learning infrastructure. As a Senior Engineer, you’ll play a key role in evolving our matching architecture, improving system efficiency, and enabling Uber’s next-generation ML-powered matching capabilities. This is an opportunity to work on one of Uber’s most business-critical domains with massive global impact.

Some of the problems you’ll be working on include:

• Building a highly scalable ml systems – handling millions of ride requests per second with ultra-low latency.
• Evolving the ML platform for matching – enabling real-time inference, model deployment, and experimentation at scale.
• Designing extensible architectures – creating a modular and flexible platform that allows new product innovations without complex rewrites.

What the Candidate Will Do

• Build and scale a low-latency platform powering millions of real-time match decisions per second
• Identify opportunities to improve various ML system's performance and health
• Design modular systems that accelerate product innovation without rework
• Optimize for fairness, efficiency, and marketplace health at global scale
• Collaborate across product, infra, and ML teams to deliver business-critical impact

Basic Qualifications

• 5+ years experience working on the full software life cycle including gathering requirements, project planning, solution design, coding/implementation, testing, rollout/deployment and best practices as an individual contributor.
• Experience with ML in production systems
• Experience coding using general purpose programming language (eg. C/C++, Java, Python, Go, C#)
• Fast and passionate learner. Strong collaboration, documentation and communication skills.

Preferred Qualifications

• 3+ years of technical software engineering experience in one or more of the following areas:
• Experience building ML Models and ML infrastructure to support ML models
• Experience with distributed systems or microservice architectures.
• Experience with relational databases and distributed storage systems (MySQL, Cassandra).
• Experience with shipping efficient, reliable, crash-free code that reaches millions of users.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Principle MLE - Autonomy

Machine Learning, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team will be focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race–and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing). We will build platforms that harness scale and real-world complexity to reimagine how the world moves.

You will be an AI/ML engineer in AV Labs and involved in the development and implementation of the latest machine learning techniques for computer vision and perception use cases. The ideal candidate will be able to identify issues, provide solutions and implement the fixes as well as setting a high technical excellence bar in all things we do. You’ll be able to collaborate with other engineers across networking, storage, compute, big data and cloud engineering, as well as with partner engineering teams which enables Uber’s mission of helping people go anywhere and get anything and earn their way.

What You'll Do

Design and deliver software and tools as part of our state-of-the-art Machine Learning platform

• Participate in developing the vision and technology roadmap for ML and Computer Vision at Uber
• Provide technical leadership, influence and partner with fellow engineers to architect, design and build scalable solutions for ML and Computer Vision technology that can stand the test of scale and availability, while reducing operational overhead
• Systems architecture design, including management of upstream and downstream dependencies
• Drive datasets to accelerate ML and Computer Vision technologies, sensor data collection, processing, labeling, indexing and building comprehensive driving scenarios.
• Collaborate with platform, product and security engineering teams, and enable successful use of the latest ML techniques.
• Own the craftsmanship, reliability, and scalability of your solutions
• Mentor and guide the professional and technical development of engineers on your team, and continuously improve software engineering practices

What you'll Need

• Min 10 years of total experience and 5 years of working experience in the ML/Robotics industry
• Bachelor degree in computer science, computer engineering or related fields
• Proficient in Python and Linux
• Proficient in perception technologies
• Familiar with OpenCV, TensorFlow/PyTorch
• Experience in leading large initiatives.

Bonus Points If

• Conference or Journal publications in Machine Learning or Robotics related venues
• Prior experience with Prediction and Planning for autonomous vehicles

For San Francisco, CA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>Uber’s Risk systems operate at a global scale, making billions of real‑time decisions daily to mitigate fraud/abuse . Risk team designs systems that balance sophisticated security with a seamless experience, to maintain marketplace integrity while minimizing friction for millions of legitimate users worldwide.</p>
<p>This role sits within one of Uber’s core pillars. You’ll be at the center of fraud-fighting research, processing $200B in payments. You will work in a high-innovation environment alongside ML and Data Science teams to protect the marketplace from both human and automated (bot) fraud.</p>
<p><strong>What the Candidate Will Do:</strong></p>
<ul>
<li>Lead the end-to-end delivery of complex, high-impact technical programs from initial concept through launch and ongoing iteration with a focus on Risk, Fraud, Trust and Safety.</li>
<li>Partner closely with Engineering, Product, Data Science, Legal, Business Development, Product Operations and Compliance teams to design and implement scalable, secure, and compliant solutions that meet both the needs of the demand clients and supply resources of the digital marketplace to complete digital tasks</li>
<li>Proactively identify risks, bottlenecks, and dependencies, resolve issues before they impact timelines or quality of delivery.</li>
<li>Drive cross-functional strategic planning processes, including defining program scope, aligning on priorities, managing resources, and communicating tradeoffs to stakeholders.</li>
<li>Establish clear success metrics and tracking mechanisms to ensure programs deliver measurable business value.</li>
<li>Act as a central point of coordination across global and regional teams, aligning efforts and ensuring consistent execution across multiple work streams.</li>
<li>Champion operational excellence by continuously improving program delivery frameworks, communication channels, and team collaboration models.</li>
</ul>
<p><strong>Basic

Qualifications

</strong></p>
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience.</li>
<li>8+ years of experience as a Technical Program Manager or Engineering Manager in software or systems development.</li>
<li>Proven success in managing end-to-end delivery of technical programs in the Trust, Safety and Insurance or related domains.</li>
<li>Strong technical acumen, with experience in distributed systems and microservice architectures.</li>
<li>Exceptional communication skills, with the ability to influence diverse stakeholders and drive alignment.</li>
<li>Mastery of project management methodologies (Agile, Waterfall) and tools.</li>
</ul>
<p><strong>Preferred

Qualifications

</strong></p>
<ul>
<li>Proven track record of launching critical products, ideally in Risk, Fraud, Payments, Trust and Safety or other regulated industries.</li>
<li>Deep understanding of Risk, Fraud, or Trust & Safety space, specifically dealing with consumer, earner and marketplace risk.</li>
<li>Experience navigating regulatory and compliance frameworks would be good to have.</li>
<li>Strong analytical and data-driven decision-making skills, adept at defining and tracking program KPIs.</li>
<li>Demonstrated ability to lead large, cross-functional initiatives in fast-paced, ambiguous environments.</li>
<li>Skilled in strategic planning, risk management, and stakeholder coordination.</li>
<li>Exceptional multitasking and prioritization abilities across concurrent projects.</li>
</ul>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$180,000 per year - USD$200,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Engineering Manager II, Core Security Engineering

Manager, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The Security Engineering team at Uber is focused on making the production and corporate environments secure by default to provide industry-leading solutions for Uber's production services and infrastructure. As a manager in the Authorization Platform/core security engineering, you will leverage your solid software engineering and security background to lead the team that is dedicated in ensuring the protection of Uber’s core services, datastores, and infrastructure. We are focused on building both security primitives and products that help other engineering teams to secure their systems, build trust, and advance security to enable our global business.

Your will lead a talented team of engineers who are responsible for designing, implementing, and maintaining advanced security solutions to strengthen Uber’s security posture by securing Uber’s infra, improving automation and efficiency, and working cross-functionally with various stakeholders to mitigate security risks.

The ideal candidate has a deep understanding of software engineering fundamentals, experience with critical distributed systems/libraries, passionate about cybersecurity/IAM, excels at fostering team growth, and is not afraid to dive into the codebase to lead by example.

What the Candidate Will Need

1. Set team direction by identifying technical priorities and opportunities, managing expectations, and considering tradeoffs.
2. Empower delivery by forming actionable plans, allocating responsibilities, and maintaining productivity across engineering teams with well-defined goals and metrics.
3. Develop team structure in alignment with broader organizational strategy and vision, owning: hiring, performance management, and employee development of individual contributors.
4. Empower the team to excel in their roles by providing mentorship, guidance, and professional development opportunities.
5. Provide technical leadership on delivering impactful solutions while maintaining technical excellence.
6. Provide thought leadership in leveraging Generative AI and Machine Learning to shift-left security.
7. Partner with cross-functional teams, including trip related core services, software networking, various business verticals (U4B, UberHealth) and compliance(PSD2, SOX, HIPAA), to enhance the organization’s security posture.
8. Communicate security risks, architectural gaps, and solutions to stakeholders at all levels, ensuring clarity and alignment.
9. Stay informed on emerging security threats, trends, and technologies to continuously enhance security practices.

---- Basic Qualifications ----

1. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
2. 4+ years full-time work experience in software engineering, product development and/or security engineering prior to Engineering Management experience.
3. 3+ years full-time Engineering Management work experience.
4. Strong hands-on technical skills, including proficiency in one or more programming languages (Go, Java, Python, C/C++) and code reviews.
5. Deep understanding of software engineering fundamentals, including algorithms, data structures, distributed systems, system design, and architecture.
6. Proven experience in owning critical and large-scale infra services/systems.
7. Proven ability to lead technical projects end-to-end, from design through deployment.
8. Strong problem-solving and decision-making skills with a bias for action.
9. Ability to problems solve and make complex decisions with incomplete information in ambiguous situations and environments.
10. Experience building and scaling teams while maintaining a culture of technical excellence.

---- Preferred Qualifications ----

1. Master's Degree or PhD in Computer Science, Engineering, or related field.
2. Experience in collaborating with teams over multiple locations, and working across multiple in-house engineering organizations
3. Knowledge of cybersecurity concepts, tools, and best practices. Experience in authentication/authorization/IAM systems is a plus.
4. Experience with modern development practices (e.g., CI/CD, microservices, cloud platforms like AWS/GCP/OCI).
5. Experience building out integrations with open-source and vendor products.
6. Experience with AI/ML technologies / frameworks and incorporating them into production systems.
7. Proven track record of driving technical innovation and solving complex engineering challenges.

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr Staff Software Engineer

Backend, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Role

Uber's Commerce Engineering group is responsible for maintaining and enhancing the infrastructure for orders and payments that enables all lines of businesses across Uber to conduct business. All commerce in and out of Uber flows through these mission-critical systems. With strict 4 9’s availability requirements, this is one of our largest scalable systems and the complex day-to-day interactions require careful coordination from engineers that have a deep sense of quality, security, and ingenuity. The Money Platform team owns the lifecycle of money movement for all orders (ridesharing trips, freight loads, eats orders, etc.) from beginning to end. As a critical central platform, we straddle the line between infrastructure and product in such a way that we solve deep technical challenges, at scale, in problem domains that are specific to Uber’s business. As a backend engineer on the Money Platform, you’ll be writing reliable and maintainable code that teams across the company rely on while collaborating extensively with those teams to anticipate the platform features required to enable them to launch new and innovative products.

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving around the world.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Work on payments platform as a tech lead backend engineer creating solutions catering to Uber's different lines of businesses
2. Be the advocate and design guardian for payments platform to solve business use cases working closely with core teams within Uber
3. Autonomously lead and deliver the project working with Product and other business functions
4. Create forward looking technical vision aligned with Uber's business priorities to evolve existing platform to its next iteration.
5. Mentor other engineers within and outside the team to be a force multiplier for the Company.

---- Basic Qualifications ----

1. Bachelor's or Master's degree in Computer Science or equivalent 10+ years of experience with systems software engineering.
2. Sound understanding of computer architecture and CS fundamentals.
3. Strong problem solving and coding skills demonstrated by solid academic or research projects
4. Demonstrated experience in leading large scale projects from concept to delivery while uplifting other engineers working with them.
5. Experience with Software Development processes such as design, planning, implementation, maintenance & documentation Demonstrated experience working collaboratively in cross-functional teams
6. Passion for learning new technologies, domains, and challenging the status quo.
7. Grit, drive and a strong feeling of ownership coupled with collaboration.

---- Preferred Qualifications ----

1. Payments Experience
2. Distributed systems experience
3. Held Sr IC title at a large scale company like Uber for past 2-3 years

For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p>The <strong>Marketplace Signals</strong> team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals—such as eyeball ETA, spinner time, and supply reliability indicators—are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions.</p>
<p><strong>What You'll Do</strong></p>
<ul>
<li>Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).</li>
<li>Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.</li>
<li>Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.</li>
<li>Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.</li>
</ul>
<p><strong>What You'll Need</strong></p>
<ul>
<li>Strong problem-solving skills, with expertise in ML methodologies</li>
<li>Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems)</li>
<li>Experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java</li>
</ul>
<p><strong>Why Join Us?</strong></p>
<ul>
<li>Work on high-impact machine learning problems that directly improve Uber's marketplace efficiency.</li>
<li>Influence key business levers that optimize Uber’s pricing, matching, and rider/driver experience.</li>
<li>Build centralized marketplace signals that reduce redundancy and improve operational efficiency.</li>
<li>Join a high-caliber, innovative team tackling some of the hardest ML challenges in the industry.</li>
</ul>
<p>If you’re passionate about using ML to optimize real-world systems at a massive scale, we’d love to hear from you!</p>
<p><strong>What You Will Do:</strong></p>
<ul>
<li>Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).</li>
<li>Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.</li>
<li>Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.</li>
<li>Ensure consistency and reliability across Uber's platform by maintaining high-quality marketplace signals that inform rider and driver experiences.</li>
<li>Reduce technical debt by streamlining signal infrastructure and minimizing redundant computations.</li>
<li>Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.</li>
<li>Work with real-time streaming data and large-scale distributed systems to ensure Uber's signals are up-to-date and responsive to market dynamics.</li>
</ul>
<p><strong>Basic

Qualifications

</strong></p>
<ul>
<li>Ph.D. or M.S. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.</li>
<li>6+ years of industry experience in machine learning, including building and deploying ML models at scale.</li>
<li>Experience in modern deep learning architectures and probabilistic modeling</li>
<li>Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn),</li>
<li>Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git.</li>
<li>Advanced skills in the development and deployment of large-scale ML models and optimization algorithms</li>
<li>Strong business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions.</li>
</ul>
<p><strong>Preferred

Qualifications

</strong></p>
<ul>
<li>Expertise in developing causal inference methodologies, experimental designs, and advanced analytical methods.</li>
<li>Strong experience in building a wide range of models (e.g. causal inference, optimization, ML) for business applications.</li>
<li>Experience in algorithm development and rapid prototyping.</li>
<li>Design, develop, and operationalize econometric models to assess challenging causal problems such as product incrementality and long-term value</li>
<li>Propose, design, and analyze large scale online experiments and interpret the results to draw actionable conclusions.</li>
<li>Ability to drive clarity on the best modeling solution for a business objective.</li>
<li>Collaborate with cross-functional teams across disciplines such as product, engineering, and operations to drive system development end-to-end from generating ideas to productionizing.</li>
</ul>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

<p><strong>About the Role</strong></p>
<p>As an Sr. Application Engineer on the Sales Automation Engineering team, you will design and deliver critical features across the CRM technology stack, integrating seamlessly with both internal and external platforms to drive meaningful business outcomes.</p>
<p>This role plays a key part in expanding and enhancing the CRM ecosystem—including Salesforce—by building capabilities that empower Sales and Support teams across customer acquisition, onboarding, and expansion.</p>
<p>The work you do will have a direct and measurable impact on Uber’s user growth, revenue generation, and global expansion efforts.</p>
<p>---- What the Candidate Will Do ----</p>
<p>Drive complex technical projects with significant ownership</p>
<p>Design, implement, and ship reliable and well-tested features to our users while setting high standards for code quality and maintainability.</p>
<p>Collaborate cross-functionally with stakeholders, solution architects, product managers, and other engineering teams to define project requirements, execution plans, and technical strategy.</p>
<p>Ensure that system designs, including APIs, architecture, and dependency selection, result in scalable, resilient solutions that minimize support costs and enhance the user experience, often solving for complex, ambiguous, or multi-system problems.</p>
<p>Create comprehensive documentation for the solutions, including design specifications, deployment guides, and operational support documentation, championing best practices in documentation.</p>
<p>Mentor junior engineers and actively participate in code reviews to maintain high engineering standards.</p>
<p>Drive improvements in agile development processes, including sprint planning, stand-ups, and retrospectives.</p>
<p>---- Basic Qualifications ----</p>
<p>• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.</p>
<p>• 8+ years of professional software development experience.</p>
<p>• 6+ years of hands-on Salesforce application development experience.</p>
<p>• Strong understanding of the Salesforce platform, including its capabilities and constraints.</p>
<p>• Solid grasp of object-oriented programming principles.</p>
<p>• Experience developing in one or more languages such as C#, Java, Go, or Python.</p>
<p>• Hands-on experience with SOAP, REST, and Bulk APIs, including API design, development, and management.</p>
<p>• Practical experience with Apex, Lightning (LWC), and SOQL/SOSL.</p>
<p>• Experience working with cloud platforms such as AWS or GCP.</p>
<p>• Strong communication skills, with the ability to collaborate effectively with engineers, technical teams, and stakeholders to gather requirements and articulate product features, technical designs, and overall strategy.</p>
<p>• Excellent verbal, written, interpersonal, and presentation skills.</p>
<p>• Ability to work independently as well as collaboratively in a fast-paced environment.</p>
<p>---- Preferred Qualifications ----</p>
<p>MS in Computer Science or related field.</p>
<p>Knowledgeable and an advocate for software engineering best practices throughout the entire software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.</p>
<p>Familiarity with cloud platforms, especially Salesforce, and hands-on experience with complex, large-scale cloud-based integrations.</p>
<p>Deep understanding of DevOps practices and tools, including designing and optimizing CI/CD pipelines.</p>
<p>Extensive experience working in Agile development environments, with a strong commitment to delivering iterative, high-quality solutions.</p>
<p>Enjoys solving complex, ambiguous business problems through innovative and technology-driven solutions, demonstrating a product-minded approach.</p>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$180,000 per year - USD$200,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Sr Manager, Engineering

Manager, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Role

The streaming platform team is responsible for providing the messaging and streaming processing technology offerings to the engineering teams at Uber. We provide infrastructure and platform services to power tens of trillions of Kafka messages per day and thousands of Flink jobs and workflows, process trillions of messages per day with seconds latency and data freshness.

We are looking for an experienced Sr. Engineering Manager to lead the team to refine and optimize our streaming platform capabilities while keeping a close tie with our stakeholders. You will be in the center of the action through building solutions that drive our business by building the roadmap, scaling our current streaming system, exploring venture bets and collaborating with experts in infrastructure and product managers to deliver results

What the Candidate Will Do ----

1. Manage a sizable team with EM and TLM reporting to this role
2. Reshape the architecture of a high-performance streaming platform, prioritizing scalability, reliability, and efficiency.
3. Collaborate with several cross-functional teams to define requirements and translate them into technical specifications.
4. Lead the team to develop and implement state-of-the-art streaming platform, enhancing quality, reliability and performance.
5. Drive solutions and implementations that seamlessly scale with the growing needs of our user base.
6. Optimize existing streaming infrastructure for efficiency, latency, and freshness.
7. Mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement

---- Basic Qualifications ----

1. Experience with highly available/fault tolerant, replicated data storage systems, large scale data processing systems or enterprise/cloud storage systems is also a strong plus
2. 3+ years of experience managing 10+ people engineering team
3. 8+ years of experience building and managing distributed systems. Sound understanding of distributed system fundamentals

---- Preferred Qualifications ----

Under the hood experience with Apache Flink, Apache Kafka, Apache Storm, Apache Samza and other Streaming technologies is a strong plus

For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Application Developer – Atlassian

Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

At Uber, we don’t just use tools; we build the engines that power global movement. As an Application Developer for Work Management, you are at the heart of our productivity. You’ll design and build the Atlassian-based systems that keep thousands of Uber employees aligned and moving fast.

This isn't just about managing Jira tickets—it's about engineering intelligent, integrated ecosystems. The pace here is intense, and the systems are massive. You will face high stakes and complex technical debt, and you’ll often need to build solutions for problems that don’t have a playbook. We need someone with the grit to dive into the messiness of enterprise-scale configurations and the curiosity to leverage GenAI and Rovo Agents to redefine what’s possible. If you are a systems thinker who stays calm under pressure and cares about building tools that actually work at scale, this is where you’ll grow.

What You’ll Do

• Build and Scale: Design and optimize Jira and Confluence environments that support how our teams move in the real world—where performance and scale are non-negotiable.
• Navigate Complexity: Solve messy, high-impact problems across the Atlassian toolchain (Structure, JEMH, EazyBI, ScriptRunner), often without a clear starting point.
• Automate the Future: Build and maintain AI-powered applications and Atlassian Rovo Agents to automate workflows and turn manual friction into seamless productivity.
• Integrate Deeply: Develop robust integrations using Atlassian REST and GraphQL APIs, ensuring data flows smoothly across our global tech stack.
• Own the Outcome: Own your work end-to-end, from the first requirement gathering session with stakeholders to debugging production issues when the stakes are high.
• Unblock Teams: Work through technical debt and shifting priorities to champion engineering best practices, even when time is tight.
• Collaborate and Influence: Partner across disciplines—Product, Engineering, and Operations—to navigate tension, influence without authority, and ship practical solutions at speed.

Basic Qualifications

• 5+ years of hands-on experience administering and developing solutions on Atlassian platforms (Jira and Confluence Cloud/Data Center).
• Proficiency in Jira workflows, custom fields, schemes, permissions, and advanced configurations.
• Experience with ScriptRunner for automation and workflow enhancement.
• Experience working with Atlassian REST and GraphQL APIs for third-party integrations.
• Experience with Atlassian marketplace apps (Structure, JEMH, EazyBI).
• Demonstrated use of AI-powered developer tools in a daily engineering workflow (e.g., AI-assisted coding or debugging).

Preferred Qualifications

• Experience developing AI-enabled solutions using Atlassian Rovo Agents and LLM integrations.
• Expertise in prompt engineering and agent actions within enterprise workflows.
• Proven ability to design enterprise-scale dashboards and analytics using EazyBI.
• Experience supporting large, complex organizations with rigorous governance requirements.
• Strong systems thinking and the ability to thrive in high-ambiguity environments.

For San Francisco, CA-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr Software Engineer, Financial Products

Backend, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Role

We are looking for a Senior Backend Engineer to join The Financial Products Team - a highly focused growth team with a mission to build out Uber’s financial services. As one of the company’s core strategic initiatives, the team is responsible for launching high-impact projects that push the boundaries of Uber's services and offerings and has a direct impact on the company's performance.

On this team, we build user-facing fintech products and services that interface with the entire Uber platform, including Uber, UberEats, and Uber Driver apps. We ship on a global scale and pursue strategic projects in various markets to empower Uber’s business.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Collaborate closely with product, design, and business teams to design and implement new product ideas and business needs with a scalable solution
2. Drive adoption of best practices in code health, testing, and maintainability
3. Play an active role in the team's technical design choices, code reviews, and documentation

---- Basic Qualifications ----

1. Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
2. 5+ years of professional experience in software development
3. Proficiency in one or more programming languages (e.g., Java, C++, Go, Python, or equivalent)
4. Strong understanding of data structures, algorithms, and software design principles
5. Experience building and maintaining scalable distributed systems or web applications
6. Solid knowledge of software engineering best practices (e.g., code reviews, testing, CI/CD)
7. Excellent communication and collaboration skills across engineering and cross-functional teams

---- Preferred Qualifications ----

1. 7+ years of industry experience, with a proven track record of technical leadership and delivering production-grade software
2. Expertise in designing and operating large-scale systems, microservices architecture, or real-time data processing pipelines
3. Prior experience mentoring junior engineers or leading technical projects end-to-end
4. Strong product intuition and ability to work closely with product managers and designers

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Software Engineer II- Grocery & Retail

Backend, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products.

About the Team (We are hiring for multiple teams)

Grocery & Retail is Uber’s newest and fast growing business line, delighting customers with next-hour delivery of household essentials from their favorite local stores. The team is focused on building best-in-class products and technology to support merchants, consumers and couriers in shopping and fulfilling orders on the Uber platform. We solve challenging technical problems across consumer experiences, fulfillment orchestration, search, ranking, recommendations, catalog and merchant platforms to meet the needs of the growing business.

The Grocery and Retail team is looking for a Software Engineer to execute on the team’s ambitious and fast-paced technology strategy. This is an important and visible role with a potential for significant impact on the fast growing grocery and retail business. We are looking for someone with deep knowledge and passion for software engineering, enjoys solving challenging technical and product problems, and can effectively collaborate with stakeholders.

What You’ll Do

• Design, develop, and maintain robust and scalable software solutions
• Collaborate with product managers, cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specifications
• Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to deployment
• Conduct thorough code reviews, offering constructive feedback to maintain high code quality and elevate coding standards
• Stay up-to-date with the latest technologies and industry trends, evaluating their potential impact on our software systems and recommending appropriate integrations or improvements

Basiq Qualifications

• Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field with at least 1 year of full-time Software Engineering work experience OR PhD in Computer Science, Engineering, Mathematics or related field
• Proficiency in at least one programming language such as Java, C++, Python, or Go
• 2+ year of experience with backend development, building and delivering end-user products.

Preferred Qualifications

• Master’s degree or higher in Computer Science, Engineering, Mathematics or related field
• More than 3 years of full-time Software Engineering work experience
• Proven experience building highly available distributed systems (at Uber scale) and working across multiple backend services
• Experience working on scalable backend systems utilizing a microservices architecture
• High bar for quality as demonstrated by code reviews, documentation, unit and integration testing
• Experience with optimization techniques and algorithmic development
• Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Software Engineer, (Backend) Uber AI Solutions

Backend, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

At Uber, our mission is to be the platform of choice for flexible earning opportunities. We are expanding this vision through Uber AI Solutions (UAIS), a fast-growing team operating like a startup within Uber.

We are building foundational model data infrastructure for the next generation of AI systems, where human intelligence and machine learning models work together to produce Model Ready Datasets.

Our platform serves frontier labs, cognitive research teams, and model infrastructure organizations operating across Generative AI& Physical AI. As models are pushed into multimodal, interactive, and real world use cases, high quality, well structured and well understood data becomes a system level requirement.

We are creating a cutting-edge, AI powered, scalable, human in the loop platform that integrates expert knowledge workers directly into the data lifecycle. From dataset design and evaluation to feedback driven iterations and responsible data production, our infrastructure enables team to move faster without compromising rigor and reliability. We operate in over 30+ countries, with knowledge workers actively engaged in preparing datasets for a variety of AI initiatives.

We believe breakthroughs in AI will be driven not only by advances in models, but by the strengths of data systems that support them. Our mission is to build the infrastructure that makes frontier research and production possible at scale.

We are seeking a Staff Engineer to provide technical direction and lead platform architecture for Uber AI Solutions, a fast-growing, startup-like organization within Uber. In this role, you will own and drive the design of foundational data infrastructure that enables frontier AI systems to transition from research to production with speed, rigor, and reliability. You will build scalable platforms that integrate expert human input with machine learning to produce high-quality, model-ready datasets for multimodal and real-world AI use cases.

What You'll Do

• Architect and evolve core systems that span multiple teams, ensuring scalability, performance, and long-term maintainability of critical platform services.
• Provide technical leadership across teams, driving alignment on design patterns, service interfaces, and shared infrastructure investments.
• Mentor and develop senior engineers, elevating technical depth, decision-making, and design rigor across the broader group.
• Champion the adoption of AI-assisted development tools and modern engineering practices to improve code quality, reliability, and delivery speed across teams.
• Influence hiring and talent development, helping shape team composition and maintaining a high engineering bar across multiple teams.

Basic Qualifications

• Bachelor’s (or Master’s) degree in Computer Science, Engineering or related discipline (or equivalent experience).
• Expert in at least one major backend or infrastructure technology (languages, frameworks, distributed systems, data pipelines) and comfortable influencing architecture across teams.
• Strong record of mentoring and developing engineers, setting technical standards, and driving impact beyond a single team.
• Excellent communication and collaboration skills; able to engage with multiple teams, stakeholders, and articulate vision and trade-offs.
• Experience participating in hiring and helping build out engineering teams or capability.

Preferred Qualifications

• 8+ years of professional software engineering experience, with substantial experience designing, building, and operating large-scale systems across multiple teams.
• Deep understanding of ML Ops ecosystems, LLM or ML model lifecycle management, and large-scale data processing frameworks (e.g., Kubeflow, Airflow, Ray, Spark).
• Proven experience architecting systems for data labeling, translation, or human-in-the-loop workflows supporting high-volume ML applications.
• Strong familiarity with GenAI, Physical AI and LLM infrastructure model hosting, fine-tuning, evaluation, and integration into production services.
• Experience mentoring engineers and leading technical initiatives applying AI/ML to complex business or operational domains (e.g., logistics, physical AI, robotics).

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr Network Engineer

Engineering

Sunnyvale, California |

San Francisco, California

Full Time

Apply Now

About the Role (Only Bay Area)

The Uber Global Network Infrastructure team is looking for someone with a passion in developing intelligent network infrastructures and embedding adaptive AI-driven decision-making while operating these cloud and on-prem networks. This role will combine a strong background in on-prem and cloud networking engineering and operations – and their many challenges and triumphs – and take that understanding and expertise in creating a resilient, high-performance network.

If you value simplicity, work comfortably in a collaborative, fast paced environment, and are excited to both teach and learn, we'd love to talk to you.

1. Design, build and operate all facets of our next-generation network solutions, to include cloud, transit, backbone and on-prem networks in a 24/7 environment that powers Uber’s business.
2. Responsible for ensuring network availability, performance and future scalability through automation.
3. Embrace cross-team collaboration. You’ll work closely with people across multiple Engineering and Business organizations to develop and implement network-based solutions that support our global growth.
4. Apply your intellectual curiosity and research new technologies; figure out their practical applications within our principles and then bring it to life in our production networks.

What the Candidate Will Do ----

1. Identify and work with stakeholders to drive new production designs and deployments for POP, backbone, transit or Cloud networking.
2. Provide production on-prem and cloud networking support (GCP, OCI), interconnects, and VPC creation.
3. Collaborate with internal and external teams and stakeholders for projects, new functionality, or troubleshooting operational issues.
4. Participate in a 24/7/365 global on-call rotation.

---- Basic Qualifications ----

Basic Qualifications

1. 5+ years of Network engineering and operational experience in production environments with proficiency in one or more programming/scripting languages (Python, Go) for network automation and tooling.

---- Preferred Qualifications ----

1. Experience leading large-scale green or brownfield architecture, designs, and deployments for global or national enterprise or Service Providers in backbone or data center network fabrics.
2. Domain expertise in one or more of the following areas: AWS, OCI, GCP, Backbone network design and architecture, large scale on premise data center networking, network automation and observability, Large scale distributed systems
3. Hands-on experience designing, deploying and/or operating Cloud networking in either AWS, OCI or GCP environments (Direct peering, VPC networking, Security controls).
4. Proven ability to lead operational excellence through best-practice change management, outage mitigation and blameless post-mortem processes.
5. You have great interpersonal skills, deep technical ability, and a portfolio of successful execution. You are open-minded to discuss various technical approaches and able to drive consensus across various stakeholders at Uber.

For San Francisco, CA-based roles: The base salary range for this role is USD$180,000 per year - USD$200,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$180,000 per year - USD$200,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Software Engineer

Engineering

in San Francisco, California

• Full Time

Apply Now

Employer:                    Uber Technologies, Inc.

Job Title:                     Software Engineer

Job Location:              San Francisco, California

Job Type:                    Full Time

Rate of Pay:                 $167,000 to $204,000 per year

You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Duties:                         Design and develop large-scale data systems, including databases, data warehouses, and big data platforms. Build robust and scalable software solutions using modern software engineering practices. Design and build scalable data pipelines for both batch and real-time processing - leveraging Apache Airflow, Spark, and SQL for ETL workflows across diverse data sources (e.g., relational databases, APIs, logs), and using tools like Apache Kafka, Flink, and Spark Structured Streaming to enable near real-time data processing for analytics and monitoring use cases. Collaborate with stakeholders to understand business needs and translate them into scalable and reliable data systems and tools, while ensuring data quality, privacy, and compliance. Champion and enforce data governance practices, including data lineage, metadata management, data quality controls, and privacy regulations. Drive automation initiatives by developing scripts, utilities, and frameworks to streamline data processes, improve efficiency, and enforce data governance practices. Collaborate with cross-functional teams, mentor junior engineers. Stay updated with latest industry trends and technologies in data engineering, Gen AI and Cloud solutions and create innovative solutions for complex challenges. Maintain comprehensive documentation of data solutions, processes, best practices and actively share knowledge with team. May telecommute.

Employer will accept a Bachelor's degree in Computer Science, Engineering (Any), Information Technology, Mathematics, Physics, or related field, and three years of experience in the job offered or in a related occupation.

Position requires:

1. Programming languages such as Python, Scala, and SQL;
2. ETL Data Pipelines (Extract, Transform, Load);
3. Cloud services such as Amazon S3, Amazon EMR, Amazon Lambda, Amazon Redshift, or GCP BigQuery;
4. Hadoop tech stack: HDFS, Hive, Presto, Spark, Flink, Airflow, or MapReduce;
5. Batch and Real Time Data processing using Airflow, Spark, HUDI, Kafka, or Flink;
6. GenAI powered applications for predictive and generative analytics, code optimization and developer productivity;
7. Data structures and algorithms development and functionality;
8. Designing technology stacks;
9. Debugging and monitoring for production services;
10. Distributed systems;
11. Software Development Lifecycle.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Machine Learning Engineer II– Ranking & Recommendations

Machine Learning, Engineering

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

Role Location: San Francisco, Sunnyvale, Seattle, or New York

About the Role

The Shopping Ranking Team mission is enabling eaters to effortlessly make shopping decisions and find what they need. We pursue this mission via an ML-driven algorithmic approach, applying state-of-the-art Machine Learning (ML), Optimization techniques to learn from massive datasets Uber has, and build a scalable and reliable shopping intelligence ranking and recommendation systems.

We are actively seeking individuals who excel in problem-solving and critical thinking, are proficient in coding, with proven track records of learning and growth, and have a deep interest in ML model, feature and infrastructure development. Candidates will have the opportunity to work across various lines, from infrastructure development to ML model development, productionalization, offering a diverse and enriching experience. Join us in our pursuit of excellence as we are building the next generation of Generative AI - shopping ranking and recommendation systems.

---- What the Candidate Will Do ----

1. Design and build Machine Learning models in Ranking and Recommendation domain.
2. Productionize and deploy these models for real-world application.
3. Review code and designs of teammates, providing constructive feedback.
4. Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.

---- Basic Qualifications ----

1. Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience.
2. 2+ years of experience building and deploying machine learning models (or a PhD in a relevant field)
3. Experience working with multiple multi-functional teams(product, science, product ops etc).
4. Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
5. Experience with big-data architecture, ETL frameworks and platforms, such as HDFS, Hive, MapReduce, Spark, , etc.
6. Working knowledge of latest ML technologies, and libraries, such as PyTorch, TensorFlow, Ray, etc.
7. Proven track records of being a fast learner and go-getter, with willingness to get out of the comfort zone.

---- Preferred Qualifications ----

1. Experience with building ranking and recommendation systems in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
2. Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact.
3. Experience with design and architecture of ML systems and workflows.
4. Experience owning and delivering a technically challenging, multi-quarter project end to end.

For New York, NY-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Engineering Manager II, Marketplace Matching

Manager, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

Uber is looking for an Engineering Manager within our Matching team. This team sits at the core of Uber’s real-time marketplace, optimizing how riders and drivers are matched to ensure seamless, efficient, and cost-effective trips.

As a technical and people leader, you will drive the evolution of Uber’s Matching technology by solving problems like:

1. Optimizing at scale – Making millisecond-level decisions across millions of active users worldwide.
2. Balancing efficiency vs. experience – Ensuring seamless rider experiences while maximizing driver earnings and marketplace efficiency.
3. Adapting to global markets – Accounting for unique supply-demand dynamics across regions.
4. Building for extensibility – Evolving our matching infrastructure into a flexible platform to support Uber’s growing range of mobility products, from everyday rides to premium, shared, and scheduled trips.

This is an opportunity to work on one of the most complex and business-critical domains at Uber, where improvements can drive hundreds of millions of dollars in efficiency gains and unlock new rider and driver experiences globally.

What the Candidate Will Do

• Lead and scale a team of engineers, fostering a high-performance culture.
• Define the technical vision for matching platform and products, ensuring alignment with Uber’s broader strategy.
• Drive execution, delivering cutting-edge solutions that impact millions of rides per day.
• Collaborate cross-functionally with Product, Data Science, and Operations to innovate on matching strategies.
• Grow and develop top engineering talent, providing mentorship and career growth opportunities.
• Uphold engineering excellence, ensuring Uber’s matching infrastructure is scalable, reliable, and efficient.
• Influence senior leadership, shaping the future of Uber’s marketplace strategy.

Basic Qualifications

• Bachelor’s or Master's degree or equivalent
• 5+ years of proven experience in software industry
• 1+ years experience of management in building and leading a software engineering team
• You have previously led teams that owned and/or built new products

Preferred Qualifications

• PhD degree in computer science or other relevant fields
• 8-10+ years of proven experience in software engineering
• 3+ years of direct people management experience, including growing and mentoring engineers at different levels
• Experience in Machine Learning
• Strong understanding of technical architecture, system design, and problem solving acuity for sophisticated technical challenges
• Experience working cross-functionally with Product Management, Data Science, and Business partners

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>Uber has expanded its services beyond transporting people to include the delivery of <strong>nearly anything customers need, often within hours</strong>, with Grocery & Retail being a major growth priority.</p>
<p>The Grocery and Retail Consumer Ranking Team is dedicated to creating a seamless and efficient shopping experience, enabling users to effortlessly find what they need.</p>
<p>As the Engineering Manager for the Grocery & Retail Consumer Ranking team, you will lead the evolution of Uber’s online ranking architecture and high-throughput serving stack. Your primary mission is to build the engine that powers seamless shopping experiences, ensuring that millions of users can find what they need in milliseconds.</p>
<p>We are looking for a systems-focused leader to drive the design of our online retrieval and ranking services. You will oversee the delivery of real-time features, caching strategies, and storage solutions, while ruthlessly optimizing for p99 latency, resource costs, and 99.99% availability. This role is at the intersection of complex distributed systems and product innovation, requiring a leader who can balance rapid experimentation with rock-solid operational excellence.</p>
<p>While the core of this role is backend infrastructure, you will partner closely with Data Science and ML Engineering to integrate state-of-the-art models (Deep Learning, Embeddings, and GenAI) into a production environment that operates at Uber's global scale.</p>
<p><strong>What You Will Do</strong></p>
<ol>
<li><strong>Lead the team</strong> of backend and ML engineers owning the online ranking serving stack and integrations powering key consumer surfaces.</li>
<li><strong>Own the Roadmap:</strong> Define, prioritize, and execute an ambitious product roadmap through strong people leadership—managing, coaching, and growing all team members.</li>
<li><strong>Drive Reliability & Performance:</strong> Lead high-impact initiatives to improve p99 latency, tail-latency mitigation, and infra-cost efficiency for high-QPS services.</li>
<li><strong>Evolve Data Flow:</strong> Oversee the development of real-time and batch pipelines, ensuring online/offline consistency for features and model inputs.</li>
<li><strong>Technical Vision:</strong> Lay out the multi-quarter roadmap for ranking infra, leveraging senior ICs to drive architectural migrations and capacity planning.</li>
<li><strong>Operational Excellence:</strong> Champion a strong engineering culture of on-call health, post-mortems, and graceful degradation/fallback strategies.</li>
<li><strong>Scale Experimentation:</strong> Build and extend automated experimentation capabilities, including guardrails, logging, and debiasing.</li>
</ol>
<p>---- Basic Qualifications ----</p>
<ol>
<li><strong>Experience:</strong> 10+ years in software engineering with a primary focus on high-traffic backend systems.</li>
<li><strong>Leadership:</strong> 4+ years of engineering management experience.</li>
<li><strong>Backend & Systems Expertise:</strong> Deep experience in distributed systems, API/service design, and high-scale production serving.</li>
<li><strong>Operational Ownership:</strong> Proven track record in managing SLOs/SLAs, incident response, and performance/latency optimization.</li>
<li><strong>ML Partnership:</strong> Experience delivering ML-backed services and the ability to partner with DS/MLE on model requirements and evaluation.</li>
<li><strong>Communication:</strong> Strong verbal and written communication skills with the ability to influence technical and product roadmaps.</li>
</ol>
<p>---- Preferred Qualifications ----</p>
<ol>
<li><strong>People leadership</strong>: Unwavering commitment to maintaining high standards for personal contributions, team members, and product outcomes. A successful track record of hiring and developing high-performing teams.</li>
<li><strong>Scale & Scope:</strong> Experience managing teams of 10+ engineers in a large-scale tech company (10k+ employees).</li>
<li><strong>ML Platform Mastery:</strong> Experience integrating with large-scale ML platforms (feature stores, training infra, model registry) and model rollout patterns (canary/shadow, auto-rollback).</li>
<li><strong>Optimization:</strong> Proven ability to make practical tradeoffs among latency, model quality, capacity, and maintainability.</li>
<li><strong>Project Impact:</strong> History of leading multi-quarter re-architecture projects or migrations that significantly reduced costs or improved availability.</li>
<li><strong>Cross-functional Negotiation:</strong> Ability to partner and negotiate cross-organizationally (Marketplace, Search, Merchandising) to integrate ranking outputs into end-to-end user flows.</li>
</ol>
<p>For New York, NY-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Staff Machine Learning Engineer - Applied AI

Machine Learning, Engineering

Sunnyvale, California |

San Francisco, California |

Seattle, Washington

Full Time

Apply Now

About the Team:

The Applied AI team collaborates with product teams across Uber to deliver innovative AI solutions for core business problems. We work closely with engineering, product and data science teams to understand core business problems and the potential for AI solutions, then deliver those AI solutions end-to-end. Key areas of expertise include Personalization, Generative AI, Computer Vision, ML Optimization and Geospatial AI.

About the Role:

We are building AI-native discovery experiences across Mobility and Delivery. Search, recommendations, and conversational AI are central to how millions of users discover rides, restaurants, grocery items, and retail products every day.  We are hiring a Staff ML Engineer (IC6) to define and lead the foundation model strategy powering these experiences.

At this level, you will not just build models — you will shape technical direction across teams, influence product strategy, and deliver measurable impact at global scale.

What the Candidate Will Do

• Own the end-to-end technical strategy for foundation models across Search, Recommendations, and Conversational AI.
• Drive architecture decisions that influence multiple product surfaces (Eats, Grocery, Retail, Mobility).
• Lead cross-team initiatives spanning Retrieval, Ranking, Personalization, and LLM-powered assistants.
• Define long-term investment areas (build vs fine-tune vs partner models).
• Mentor senior engineers and act as a technical multiplier across the org.

Basic Qualifications

• Masters degree or Ph.D in Computer Science, Engineering, Mathematics
• 8+ years of ML experience, including significant work on large-scale deep learning systems.
• Demonstrated ownership of high-impact ML systems in search, recommendations, or conversational AI.
• Deep expertise in transformers, retrieval systems, ranking, and embedding architectures.
• Strong experience with PyTorch and distributed training .
• Track record of influencing technical direction across teams.
• Strong product intuition and ability to connect model improvements to business outcomes.

Preferred Qualifications

• Experience leading multi-team ML initiatives.
• Defined long-term technical roadmaps adopted across orgs.
• Elevated engineering standards through mentorship and technical leadership.

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr Client Platform Engineer

Security Engineer, Engineering

New York, New York |

Seattle, Washington |

San Francisco, California

Full Time

Apply Now

About the Role

Uber's Client Platform Engineering team works across the organization to scale hardware management with robust infrastructure, increasing operational efficiency and security across every connected device in Uber's global ecosystem — from production tablets in the field to corporate endpoints in the hands of Uber's employees.

Sitting within the CyberDefense organization, our team is uniquely positioned at the intersection of security, engineering, and operations, and our work directly shapes how Uber's workforce and field operations stay secure, compliant, and productive. As a senior engineer on this team, you will own cross-platform device management at scale, drive automation across the full endpoint lifecycle, and serve as a thought leader and collaborative partner for software engineering, logistics, security, and procurement stakeholders worldwide.

---- What the Candidate Will Do ----

• Own the end-to-end lifecycle of Uber's global device fleet — spanning production Android tablets, iPads, corporate macOS, and Windows endpoints — ensuring all devices remain enrolled, compliant, and performant through Ivanti Neurons MDM and complementary configuration management tooling such as Chef.
• Design, build, and maintain automation pipelines across provisioning, OS and application update management, CI/CD build and release workflows, and compliance remediation — writing modular, production-grade code that reduces manual toil and scales with the business.
• Expand and harden Uber's endpoint management infrastructure, implementing scalable systems that improve security posture, integrate with corporate account management and access provisioning systems, and support user lifecycle processing from onboarding through offboarding.
• Serve as a cross-functional technical partner and thought leader, collaborating with software engineering, support, logistics, and procurement teams to identify automation opportunities, build self-service capabilities, proselytize Infrastructure-as-Code practices, and translate operational requirements into enforceable platform standards.
• Evaluate and onboard new hardware, SKUs, and management technologies, conducting compatibility assessments and building enrollment and configuration standards as Uber's fleet evolves across manufacturers, form factors, and geographies.

---- Basic Qualifications ----

• 5+ years of client platform engineering experience, with demonstrated ownership of large-scale, multi-OS endpoint environments spanning mobile (Android, iOS/iPadOS), macOS, and Windows.
• Deep expertise in MDM and configuration management tooling, including hands-on administration of platforms such as Ivanti Neurons and Workspace ONE alongside configuration management systems such as Chef, Ansible, Puppet, or SaltStack.
• Proficiency in one or more scripting or systems languages — Go, Python, Ruby, or Swift — with a track record of writing high-quality, extensible code to automate complex endpoint management workflows.
• Deep expertise in the Android ecosystem, including platform architecture, OEM/SKU fragmentation, Android Enterprise enrollment modes (COBO, COPE, COSU), and familiarity with a wide range of hardware manufacturers such as Samsung, Zebra, and Lenovo.

---- Preferred Qualifications ----

• Experience with cloud infrastructure and Infrastructure-as-Code tooling (GCP or equivalent cloud platform, Terraform, or similar), with the ability to design and maintain scalable backend systems that support endpoint management at a global scale.
• Familiarity with device trust and attestation frameworks, including first-party tooling and vendor-based solutions such as Okta Verify or Google Context-Aware Access, and experience integrating endpoints into corporate identity and access provisioning systems.
• Experience building secure client experiences across multiple delivery models, including VDI, app streaming, and enterprise browser technologies, as well as managing Windows environments with Azure Active Directory.
• Familiarity with open-source MDM and observability tooling — such as NanoMDM, MicroMDM, or osquery — and active participation in the open-source community.

For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Principal Engineer - AI Tools

Fullstack, Engineering

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

At Uber, Developer productivity is a cornerstone of our innovation engine – productive developers will deliver more features faster to our world-wide end users. We are seeking a world-class Principal Engineer (Director-equivalent) to lead the next frontier of software development by pioneering a new generation of AI-powered developer tools. This is one of our most senior individual contributor roles, designed for a technical visionary who will act as a force multiplier for thousands of engineers across the company.

You will be the key architect of our strategy to embed intelligence into every stage of the developer lifecycle—from ideation and documentation to coding, testing, deployment, and observability. Your work will directly accelerate developer velocity, elevate our standards for software quality, and unlock new business opportunities by enabling the rapid integration of agentic AI into our products.

This role carries executive-level visibility and the autonomy to solve our most complex engineering challenges. If you are a recognized expert in developer platforms and are passionate about leveraging AI to redefine engineering efficiency at a global scale, we want to hear from you.

What You'll Do

• Define the Vision: Architect and drive the long-term technical vision and roadmap for AI-powered developer tools and infrastructure at Uber.
• Evaluate and Execute on new solutions: Lead the design and implementation of novel systems that leverage Large Language Models (LLMs), static/dynamic analysis, and machine learning to create a world-class, intelligent developer experience.
• Drive Company-Wide Impact: You are a builder, so you won’t just stop at ideation. You’ll make sure the solutions you build concretely and measurably deliver, and show step-change improvements in key engineering metrics, including code velocity, review cycle time, test effectiveness, incident reduction, and overall feature launches.
• Lead Strategic Initiatives: Spearhead complex, cross-functional projects that require influencing and aligning multiple engineering organizations and their leadership.
• Enable New Business Verticals: Build the foundational platforms and tools that allow product teams to rapidly prototype, build, and scale new agentic AI features for our customers.
• Be the Technical Authority: Serve as the ultimate subject matter expert on developer productivity and AI-driven tooling, providing technical guidance and mentorship to senior engineers across the organization. You’ll bring your expertise from industry trends into our fast paced and evolving ecosystem.
• Innovate at Scale: Solve sophisticated technical challenges inherent in a distributed system that supports tens of thousands of microservices and mobile developers.

Basic Qualifications

• BS, MS, or PhD in Computer Science or a related technical field, or equivalent experience.
• 15+ years of relevant software engineering experience, with a proven track record of technical leadership and innovation.
• Demonstrated experience defining and leading large-scale, cross-organizational technical initiatives from concept to completion.
• Recognized expertise in developer platforms, infrastructure, CI/CD, and software development lifecycle tooling.
• Hands-on experience applying AI/ML/GenAI to solve complex software engineering problems.
• Experience influencing and aligning senior leadership (Director, VP level) on technical strategy and roadmaps.

Preferred Qualifications

• Deep expertise in leveraging Large Language Models (LLMs) and other generative AI techniques to build intelligent developer tools.
• A strong background in compilers, code analysis (static/dynamic), or building large-scale distributed systems.
• Experience building and scaling platforms that serve thousands of engineers in a complex, polyglot environment (Go, Java, Python, Swift, Kotlin).
• A history of significant contributions to the open-source community, publications in top-tier conferences, or patents in relevant fields.
• Expertise with modern build systems (e.g., Bazel, Buck) and container orchestration technologies (e.g., Kubernetes).

About the Team

Our organization’s mission is to enable Uber developers to build high-quality software consistently and without frustration. By joining us, you will be at the epicenter of Uber's engineering culture, with a unique opportunity to shape its future.

For San Francisco, CA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Data Engineer - Growth and Marketing Platform

Data, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

The Growth and Marketing Platform Data Team is looking for a highly skilled and passionate Data Engineer to build and scale Uber’s data infrastructure. In this role, you’ll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power Uber’s growth and marketing initiatives.

You’ll collaborate with Product Managers, Data Scientists, Data Platform Engineers, and Marketing Operations to design scalable, efficient, and reliable data solutions that drive business impact. This is a highly visible and impactful role for someone who thrives on data at scale, technical leadership, and solving ambiguous problems with clarity and precision.

What You Will Do

1. Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.
2. Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.
3. Solve complex challenges at the intersection of low latency, high correctness, and full determinism.
4. Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.
5. Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.
6. Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.

Basic Qualifications

1. 4+ years of experience in data engineering or backend software development.
2. Proficiency in Python, SQL, Java, or Scala for data pipeline development.
3. Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.
4. Data warehouse and Data Modeling experience

Preferred Qualifications

1. Experience in Web and SEO Analytics
2. Experience in Marketing Technologies
3. Designing and executing on Real-time and Near Real-time Systems

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Director, Engineering - Autonomy

Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

As the Director of Engineering - Autonomy, you will provide the strategic leadership and executive vision for the teams responsible for major components of the core autonomy system and its safety architectures. You will build and scale a world-class organization dedicated to advancing Physical AI, focusing on edge-deployed machine learning, deterministic safety fallbacks, and real-time execution. Rather than building a traditional closed ecosystem, your teams will develop the robust onboard intelligence and safety guards required to safely evaluate next-generation models, benchmark autonomous capabilities, and collect high-value, long-tail data in complex real-world environments. Operating at the intersection of advanced research and rigorous systems engineering, you will hold ultimate accountability for ensuring that these core system components maneuver safely, predictably, and intelligently on physical hardware.

What You’ll Do

• Executive Leadership & Strategy: Define the technical vision and organizational roadmap for major components of the core autonomy system. You will align complex technical goals with Uber’s overarching mission to accelerate the broader autonomous ecosystem
• Core AI & Safety Architecture: Direct the development of robust edge software, guiding the integration of advanced ML models with deterministic, rule-based safety fallbacks. Ensure the system exhibits strictly compliant, collision-free operations while adhering to rigorous real-time compute and kinematic constraints on the vehicle
• Research & Evaluation Focus: Champion the transition of cutting-edge AI into production-ready software designed specifically to safely orchestrate vehicle operations for advanced research, ecosystem benchmarking, and scaled data collection mission
• Organizational Growth: Build, manage, and mentor a high-performing organization of engineering managers, principal engineers, and technical leaders, fostering a culture of rigorous execution and safety-first engineering
• Cross-Functional Execution: Partner directly with other AV departments to ensure a seamless transition from virtual testing to physical fleet deployment. You are the definitive owner of your core system components' real-world safety metrics and deployment readiness

What You’ll Need

• 12+ years of professional experience in Software Engineering, Machine Learning, or Autonomous Systems
• 5+ years of leadership experience managing and scaling engineering organizations, including experience managing other managers and senior technical leaders (Principals/Staff)
• Proven track record of successfully deploying complex, real-time software systems to physical hardware (edge compute, robotics, or autonomous vehicles)
• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field

Bonus Points If

• Advanced degree (MS/PhD) in Computer Science, Robotics, or a related technical field.
• Deep understanding of high-performance system optimization for edge devices (C++, CUDA, Linux, RTOS)
• Extensive experience architecting autonomous safety systems, fallback logic, and real-time control constraints
• Familiarity with modern AI/ML frameworks (e.g., PyTorch) and the challenges of running deep learning models on constrained in-vehicle compute
• Strong background working with ecosystem partners, third-party technology evaluation, or reference architectures

About the Team

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.

For San Francisco, CA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$302,000 per year - USD$336,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Software Engineer II - Uber Eats

Backend, Engineering

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products.

About the Team (We are hiring for multiple teams)

Eater Messaging owns in and out of app messaging to Eaters. This includes things like push messages, billboards on home feed, and other surfaces. As a platform team embedded in the Core Consumer experience team, you will have the opportunity to shape how we communicate value to our Eaters and help them on their journey with Eats. This team will enhance existing tools, looking to enable our partner stakeholders to drive value, and move towards a more automated future. Join us!

The Uber Eats Growth team is responsible for the rapid expansion of the platform. Their work focuses on scaling Uber Eats into new markets and diversifying the business beyond just food delivery into groceries, retail, and more. As a Backend Engineer on this team, you will build the high-quality, scalable systems that drive user acquisition and engagement. This is a strategic role that requires a mix of deep technical expertise and a "big picture" mindset to ensure Uber Eats’ long-term global success.

Uber Courier is a rapidly expanding C2C and small-business delivery service that has surpassed $1B in ARR, with significant growth potential in the US and EMEA.

Beyond standard package delivery, the platform supports specialized use cases like store pickups, returns, and intercity transport. This specific role sits within the Fulfillment team, focusing on the high-throughput marketplace to build and optimize matching and pricing features.

Search is one of the most heavily used features on Uber Eats, driving over a third of our orders. Our mission is to help eaters effortlessly find what they’re craving and discover the breadth of merchants and items on our platform.

As part of the Eats Search Experience team, you’ll work on building the next generation of search features that make discovery faster, more relevant, and more delightful. This role is ideal for a product-minded engineer who thrives on translating user needs into elegant technical solutions. You’ll gain hands-on experience in one of Uber Eats’ highest-impact product areas, with opportunities to grow your skills in backend development, experimentation, and cross-functional collaboration.

What You’ll Do

• Design, develop, and maintain robust and scalable software solutions
• Collaborate with product managers, cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specifications
• Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to deployment
• Conduct thorough code reviews, offering constructive feedback to maintain high code quality and elevate coding standards
• Stay up-to-date with the latest technologies and industry trends, evaluating their potential impact on our software systems and recommending appropriate integrations or improvements

Basiq Qualifications

• Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field with at least 2 year of full-time Software Engineering work experience OR PhD in Computer Science, Engineering, Mathematics or related field
• Proficiency in at least one programming language such as Java, C++, Python, or Go
• 2 years of experience with backend development, building and delivering end-user products.

Preferred Qualifications

• Master’s degree or higher in Computer Science, Engineering, Mathematics or related field
• More than 3 years of full-time Software Engineering work experience
• Proven experience building highly available distributed systems (at Uber scale) and working across multiple backend services
• Experience working on scalable backend systems utilizing a microservices architecture
• High bar for quality as demonstrated by code reviews, documentation, unit and integration testing
• Experience with optimization techniques and algorithmic development
• Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

For New York, NY-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Software Engineer II, Matching Platform

Machine Learning, Engineering

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber is looking for a Software Engineer to join our Matching Platform team. This team sits at the core of Uber’s real-time marketplace, ensuring that riders and drivers are matched efficiently, fairly, and at scale.

Matching is one of Uber’s most complex and impactful engineering problems, requiring expertise in high-scale distributed systems, real-time decision-making, and machine learning infrastructure. As a Senior Engineer, you’ll play a key role in evolving our matching architecture, improving system efficiency, and enabling Uber’s next-generation ML-powered matching capabilities. This is an opportunity to work on one of Uber’s most business-critical domains with massive global impact.

Some of the problems you’ll be working on include:

1. Building a highly scalable matching platform – handling millions of ride requests per second with ultra-low latency.
2. Designing extensible architectures – creating a modular and flexible platform that allows new product innovations without complex rewrites.
3. Evolving the ML platform for matching – enabling real-time inference, model deployment, and experimentation at scale.

What the Candidate Will Do

1. Build and scale a low-latency platform powering millions of real-time match decisions per second
2. Design modular systems that accelerate product innovation without rework
3. Optimize for fairness, efficiency, and marketplace health at global scale
4. Collaborate across product, infra, and ML teams to deliver business-critical impact

Basic Qualifications

• Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field OR 3-year full-time Software Engineering work experience, WHICH INCLUDES 3-year total technical software engineering experience in one or more of the following areas:
• Programming language (e.g. C, C++, Java, Python, or Go)
• Note the 3-year total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The year of specialized experience is not necessarily in addition to the years of Education & full-time work experience indicated.

Preferred Qualifications

• 3+ years of technical software engineering experience in one or more of the following areas:
• Experience with distributed systems or microservice architectures.
• Experience with relational databases and distributed storage systems (MySQL, Cassandra).
• Passion for learning new technologies
• Experience with shipping efficient, reliable, crash-free code that reaches millions of users.

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Sr. Software Engineer, ML Platform (Michelangelo)

Backend, Engineering

in Seattle, Washington

• Full Time

Apply Now

About the Role

The team is Uber's Machine Learning Platform (Michelangelo).

We are building a truly extensible machine learning ecosystem. This system provides a comprehensive tool chains to empower ML engineers to build high quality machine learning solutions in all perspectives in Uber's business.

Our team is composed of collaborative people with deep knowledge in various domains, such as, but not limited to, distributed systems, analytical systems, large-scale backend services, large-scale computing infra, feature stores, data vis and cloud-based AI solutions, modeling techniques or critical, very large scale online system operations.

[Meet Michelangelo: Uber’s Machine Learning Platform (http://eng.uber.com/michelangelo/)

What the Candidate Will Do

• Build, test and manage the micro services and libraries
• Build frameworks for feature computation, storage and access on online, offline and streaming cases
• Build applications with nonSQL storages and cache systems
• Build pipelines offline and streaming related to generative AI needs in Uber
• Collaborate with modeling teams to advance feature engineering at Uber

Basic Qualifications

• Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field AND 5+ years full-time Software Engineering work experience, WHICH INCLUDES 3-year total technical software engineering experience in one or more of the following areas:
• Programming language (Java, Python, or Go)

Preferred Qualifications

• Realtime and streaming data pipelines.
• Large nonSQL databases, vector DBs, cache systems.
• Deep experience in scaling modeling, feature engineering, Ray or Spark.
• PyTorch or JAX experience

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Software Engineer - AI Platform (Michelangelo)

Backend, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Role

This role is part of Uber’s ML Serving team within the AI Platform, responsible for defining and evolving the infrastructure that powers real-time ML and generative AI inference at Uber scale. As a Staff Software Engineer, you will set technical direction for ML serving systems, lead cross-team initiatives, and design foundational architectures that support thousands of models in production. Your work will shape Uber’s long-term strategy for scalable, reliable, and efficient ML serving.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Define architecture and technical strategy for Uber’s ML serving and inference platforms
2. Lead cross-team efforts to scale and evolve serving infrastructure for predictive and generative AI workloads
3. Design systems that balance latency, cost, reliability, and developer productivity
4. Act as a technical leader and mentor across the ML Platform organization
5. Drive operational excellence and long-term sustainability of mission-critical ML systems

---- Basic Qualifications ----

1. BS or MS in Computer Science or a related technical discipline, or equivalent experience
2. 8+ years of full-time engineering experience
3. Extensive experience designing and operating large-scale distributed systems in production
4. Deep expertise in backend systems, system architecture, and performance optimization
5. Strong leadership skills with a track record of driving complex technical initiatives

---- Preferred Qualifications ----

1. Deep experience with ML serving platforms, inference orchestration, or real-time AI systems
2. Experience supporting high-throughput, low-latency workloads at global scale
3. Strong understanding of ML model lifecycle, observability, and reliability at scale
4. Proven ability to influence technical direction across multiple teams and stakeholders

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Staff Engineer, Matching & Segmentation

Machine Learning, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

We are seeking a Sr. Staff Engineer and Tech Lead to join Uber's Mobility Matching & Segmentation organization. You will play a central role in architecting and evolving the ML-powered systems that determine how riders are matched with drivers in real-time and how marketplace segmentation enables differentiated products like Wait & Save, Predictive Dispatch, and XShare. You will tackle some of the most complex optimization and systems problems at Uber, working at the intersection of machine learning, distributed systems, and real-time decision-making — with your contributions directly impacting the experience of millions of users worldwide.

What the Candidate Will Do

• Be the Tech Lead for a complex domain within Matching & Segmentation, setting technical direction and driving architecture decisions across matching algorithms, segmentation models, forecasting systems, and real-time marketplace infrastructure.
• Design, develop, and deploy ML and optimization systems that solve high-impact business problems at scale — including real-time matching, reinforcement learning-based dispatch, and experiment-driven product development.
• Lead projects that span across orgs (e.g., matching, driver pricing, rider pricing, surge, platform) with significant cross-org dependencies and design complexity.
• Collaborate closely with Scientists, Product Managers, and peer engineering teams to define technical strategy, translate business requirements into system designs, and deliver high-quality solutions.
• Drive ongoing improvements in system reliability, performance, scalability, and efficiency through strong engineering practices, automation, and observability.
• Mentor and grow engineers across the organization, including Senior and Staff engineers, raising the technical bar and fostering a culture of engineering excellence.
• Contribute to the design and evolution of Uber's large-scale experimentation infrastructure, including Switchback experiments that power marketplace optimization decisions.
• Deliver and review technical designs, code, and documentation to a high standard, and champion best practices in data management, data quality, and service deployment.

Basic Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
• 8-10+ years of professional software development experience, building and operating systems in production environments.
• Strong knowledge of backend development, distributed systems, and system design for large-scale, low-latency applications.
• Experience with ML systems, optimization algorithms, or real-time decision systems in production.
• Demonstrated ability to lead complex, multi-team technical initiatives with significant cross-org dependencies.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams including Product, Science, and Operations.
• Proven ability to mentor and elevate other engineers, including Senior and Staff-level ICs.

Preferred Qualifications

• MS or PhD in Computer Science or a related field.
• Deep experience with marketplace systems, matching/ranking algorithms, reinforcement learning, or forecasting systems.
• Experience designing and running large-scale online experiments (e.g., Switchback, A/B testing frameworks).
• Proficiency in languages such as Go, Java, or Python, with strong foundations in performance optimization and debugging across complex stacks.
• Strong analytical and problem-solving skills with comfort navigating ambiguous, high-impact problem spaces.
• Track record of driving both technical innovation and raising organizational engineering standards.

For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>The <strong>Senior Application Developer</strong> is a key member of the <strong>Enterprise Collaboration Applications</strong> team and is responsible for the end-to-end ownership of some of our company’s <strong>critical platforms</strong> used across the organization. This role acts as the technical authority and super administrator for these applications, defining how they are configured, automated, secured, and evolved.</p>
<p>The role focuses on building scalable, reliable, and well-governed collaboration platforms through <strong>automation, configuration as code, and integrations</strong>, while partnering closely with security, compliance, and business teams. You will drive application strategy and roadmaps, oversee migrations and consolidations, guide platform adoption, and ensure operational excellence for systems critical to daily business operations.</p>
<p>---- What the Candidate Will Do ----</p>
<ol>
<li>Serve as <strong>technical owner and super administrator</strong> for enterprise collaboration platforms (e.g., Google Workspace, Slack, Microsoft 365 etc.)</li>
<li>Design, develop, and maintain <strong>Python-based automation</strong> for application administration, integrations, reporting, and governance</li>
<li>Implement and enforce <strong>configuration as code</strong> for all application configurations and policies</li>
<li>Build and maintain integrations using <strong>APIs, webhooks, and SDKs</strong></li>
<li>Define and maintain <strong>enterprise standards, guardrails, and best practices</strong> for collaboration tools</li>
<li>Own <strong>application roadmaps</strong>, feature evaluations, usage analytics, capacity planning, and lifecycle management</li>
<li>Partner with <strong>security, privacy, legal, and compliance teams</strong> to ensure platforms meet regulatory, audit, and data-protection requirements</li>
<li>Lead application <strong>migrations, consolidations, and platform transitions</strong>, including <strong>large-scale data migrations</strong></li>
<li>Drive <strong>buy vs. build decisions</strong>, including evaluation of SaaS, third-party, and GenAI-enabled solutions</li>
<li>Establish <strong>monitoring, alerting, and operational readiness</strong></li>
<li>Lead <strong>incident response, root cause analysis, and post-incident remediation</strong> for platform outages or degradations</li>
<li>Manage vendor relationships, including <strong>roadmap alignment, escalations, and support engagements</strong></li>
<li>Create and maintain <strong>technical documentation, runbooks, and knowledge bases</strong></li>
<li><strong>Mentor engineers and administrators</strong>, setting technical, automation, and operational best practices</li>
</ol>
<p>---- Basic Qualifications ----</p>
<ol>
<li>Bachelor’s degree in <strong>Computer Science, Engineering, or a related field</strong></li>
<li><strong>5+ years of experience</strong> managing <strong>tier-0/1, enterprise-critical applications</strong></li>
<li>Strong, hands-on Python development experience (mandatory)</li>
<li>Experience working with <strong>RESTful APIs, OAuth, service accounts, and webhooks</strong></li>
<li>Experience with <strong>infrastructure or configuration as code tools</strong> (e.g., Terraform or custom Python frameworks)</li>
<li>Familiarity with <strong>CI/CD pipelines</strong> and version control systems (e.g., Git)</li>
<li>Experience administering enterprise collaboration platforms (e.g., Google Workspace, Slack, Zoom, Microsoft 365)</li>
<li>Experience implementing <strong>automation and configuration as code</strong> in production environments</li>
<li>Solid understanding of <strong>enterprise SaaS governance, identity, and lifecycle management</strong></li>
<li>Strong communication skills and ability to work cross-functionally</li>
</ol>
<p>---- Preferred Qualifications ----</p>
<ol>
<li>Experience with additional programming or scripting languages such as <strong>JavaScript/TypeScript, Bash, or PowerShell</strong></li>
<li>Awareness of and experience evaluating <strong>Generative AI (GenAI) tools and features</strong> within enterprise SaaS platforms</li>
<li>Knowledge of <strong>identity, access management, and security controls</strong> for SaaS applications</li>
</ol>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$180,000 per year - USD$200,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Staff Machine Learning Engineer, Rider Pricing & Incentives

Machine Learning, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Team

Uber Marketplace is at the heart of Uber’s business, with Rider Pricing & Incentives playing a critical role by setting prices and targeting promotions for Uber riders. Our team’s mission is to drive revenue growth, ridership growth and Uber’s profitability through advanced machine learning and data science. We build reliable, scalable platforms that optimize rider pricing, real-time and offline promotions, including discounts, and personalized messaging.

The Rider Pricing & Incentives team is a fast-moving, high-opportunity space where you’ll have the chance to make a significant impact on the business. You’ll take ownership of one key pillar of the promotions or rider pricing domain and lead the technical direction for improving our pricing algorithms, promotion algorithms and models. You will work across ML, serving, and optimization system components, and set technical direction for modeling best practices across model building, evaluation and deployment.

About the Role

In this role, you'll apply advanced machine learning technologies—including deep learning, generative AI for personalized communications, causal modeling, and reinforcement learning—to optimize pricing strategies and promotional systems. You will also work with serving infrastructure and product teams to design and evolve the rider pricing and promotions systems to support new product and algorithm evolutions, promotion use cases and drive Uber’s top-line rider and revenue growth.

What You'll Do

• Lead a group of SWEs and MLEs working on rider pricing and promotions to develop and implement new machine learning and optimization techniques powering billions of rides around the world, and helping riders achieve their mobility needs.
• Improve the performance of models and algorithms powering pricing algorithms and promotion targeting.
• Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap.
• Mentor more junior team members by role modeling ML best practices. Collaborate with cross-functional teams to ensure alignment and drive Uber’s ridership and revenue growth. Help Uber’s end-users by making mobility options accessible and affordable.

Basic Qualifications

• Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 7+ years of full-time engineering experience.
• Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go).
• Experience with machine learning and optimization algorithms.

Preferred Qualifications

• PhD in Computer Science, Engineering, Mathematics, or a related field, with 2+ years of full-time engineering experience.
• Experience solving complex business problems by translating them into machine learning and optimization solutions.
• Familiarity with large-scale data systems (e.g., Spark, Hive) and experience building production-ready algorithmic systems.
• Strong background in deep learning, generative AI, causal modeling, and reinforcement learning.

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Software Engineer - Application Security

Backend, Engineering

in Seattle, Washington

• Full Time

Apply Now

About the Role

Uber is seeking a Senior Software Engineer to join our Application Security team as we evolve our defensive capabilities through advanced automation. You will help scale the traditional AppSec model of finding vulnerabilities manually to a fully automated and autonomous system. In this role, you will be tasked with designing, implementing, and deploying security automation that secures AI implementations within our applications and leverages model-driven analysis to detect security vulnerabilities—such as XSS, SQLi, CSRF, and SSRF—across Uber’s entire organization.

You will use your software engineering skills to raise the security bar across all mobile and web apps at Uber while exploring the use of automation to generate exploits and validate vulnerabilities at scale. This is a unique opportunity to work with all levels of engineers, making a real impact on Uber’s security posture and up-leveling your own engineering skills while building specialized security knowledge. Note: you will have access to unlimited model usage for your work!

---- What the Candidate Will Do ----

1. Design end-to-end features and autonomous systems for Agent & MCP Security, Code Scanning, and Vulnerability Remediation applications.
2. Develop security automation capable of identifying vulnerabilities and performing automated exploit validation across Uber's microrepository landscape.
3. Collaborate and consult with multiple engineering teams and stakeholders from Privacy, Security, Compliance, Infrastructure, and Product for integration into our security platforms.
4. Design and develop new systems, such as automated security scoring and repository-to-service mapping, to empower fast, data-driven security decisions.
5. Build distributed backend systems, including workflows, that serve real-time analytics and security features at Uber scale.
6. Mentor junior engineers and lead technical design reviews for high-impact security projects.

---- Basic Qualifications ----

1. Understanding of Agents, MCP servers, and LLMs
2. BS/BE degree in Computer Science or related fields.
3. 5+ years of experience in software engineering.
4. Experience building applications from end to end.
5. Hands-on experience with Go, Java, C, or Python (Uber heavily utilizes Go).
6. Deep knowledge of datastore technologies, including RDBMS and NoSQL systems.
7. Experience implementing REST or gRPC APIs.
8. Service design and architecture experience.
9. Implementation of secure system design, including authentication, authorization, and encryption.

---- Preferred Qualifications ----

1. Experience with distributed messaging systems such as Kafka and building real-time data pipelines.
2. Experience designing, implementing, and deploying production-quality systems with high availability.
3. Experience building integrations with open source and vendor products.
4. Familiarity with securing agentic workflows within software applications.
5. Master’s in Computer Science, Engineering, or a related field.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Software Engineer II - Back-end & ML/AI Infra

Backend, Engineering

in Seattle, Washington

• Full Time

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About the Role

Uber is looking for a strong backend and AI Software Engineer II to join the Data Security & Governance engineering team within the Privacy, Security & Risk org. This team builds distributed backend and AI-powered systems that operate at Uber scale, enabling engineering teams to safely adopt and innovate with ML and GenAI technologies. In this role, you will work on foundational platforms that protect Uber’s data and AI ecosystem. You’ll collaborate with senior engineers to design and build reliable, scalable systems, while gaining hands-on experience with production-grade distributed systems and AI-powered detection platforms.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. As a Software Engineer II at Uber, you'll be working on code that's closest to the business.
2. You will build user-facing products, handle and store thousands of transactions per second, and develop intelligent Privacy (Data Deletion) and Security(Access Control) strategies that scale.
3. You will work on design, development and maintenance of services, frameworks, and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.
4. You are passionate and pragmatic technologists who are able to design scalable systems while delivering efficient code.
5. The privacy landscape is constantly evolving, and with the adoption of ML/AI backed by extensive heterogeneous data, security & privacy threats are inevitably broadened.
6. With your deep and comprehensive expertise across major technology stacks, you will design, implement and scale industry-leading privacy solutions for the entire company.

---- Basic Qualifications ----

1. 4 years of professional industry experience and BS or MS in Computer Science or a related technical discipline, or equivalent practical experience.
2. Proficiency in at least one of Go, Java, Python, or C++.
3. Solid understanding of algorithms, data structures, and software engineering fundamentals.
4. At least five years of software engineering experience
5. Experience building or contributing to production backend or AI systems.
6. Experience with GenAI, Model Context Protocol

---- Preferred Qualifications ----

1. Experience developing backend or distributed systems such as microservices, APIs, or data-processing services.
2. Familiarity with distributed systems concepts, including reliability, scalability, and performance trade-offs.
3. Exposure to ML or AI systems, including model inference, data pipelines, or ML-enabled features.
4. Interest or experience applying ML/AI techniques to security, privacy, or risk-related problems (e.g., data classification, PII detection, policy enforcement).
5. Experience with system monitoring, observability, and production operations.

For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Software Engineer - Autonomous

Backend, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

The AM&D (Autonomous Mobility & Delivery) team owns the autonomous future of Uber’s Rides and Eats business. As we move towards a world where autonomous and human-driven vehicles coexist, Uber is tackling the challenge of building a hybrid marketplace that seamlessly integrates autonomous vehicles into the existing mobility and delivery ecosystem. This requires a delicate balance of optimizing experiences across human and AV drivers, ensuring the marketplace remains reliable, efficient, and scalable.

Our team touches nearly every surface and core service Uber provides. Over the past year, we’ve also partnered with some of the leading Autonomous Vehicle OEMs, enabling successful integrations in both Mobility and Delivery. As we look ahead, we expect significant business growth and are looking for a Staff Software Engineer to help drive this journey forward.

---- What You Will Do ----

1. Set the technical vision and lead the development of scalable systems that balance heterogeneous supplies of a hybrid marketplace.
2. Architect complex, distributed systems that handle the challenges of AV and human fleet coordination, ensuring Uber’s platform is robust, reliable, and ready for large-scale autonomous deployments.
3. Lead high-impact projects that span multiple teams and disciplines, collaborating with product, data science, operations, and external partners to drive innovation and deliver business-critical solutions.
4. Design and optimize algorithms that solve core marketplace problems such as routing, matching, pricing, and positioning, while ensuring AV and human vehicle operations work seamlessly together.
5. Innovate and lead the development of platform features that leverage autonomous vehicle data, pushing the boundaries of what is possible in mobility and delivery systems.
6. Mentor and guide senior engineers, driving the technical excellence of the team and fostering a culture of innovation and high performance.
7. Collaborate across the organization to ensure that autonomous components integrate smoothly into Uber’s broader ecosystem, setting the stage for years to come.

---- Basic Qualifications ----

1. Minimum 6+ years hands-on experience with backend development
2. Grit, drive and a deep feeling of ownership.
3. Expertise in system design and architecture, with the ability to lead the development of complex, scalable systems.
4. Strong leadership skills with a proven track record driving large, cross-functional projects and aligning stakeholders around a technical vision that delivers significant business impact.
5. A focus on impact, with a history of making strategic decisions that align with business goals and deliver measurable outcomes.

---- Preferred Qualifications ----

1. Background in autonomous vehicles (AV), with hands-on experience in developing, testing, or optimizing AV systems or related technologies.
2. Strong understanding of algorithms and data structures, especially in the context of real-time optimization, routing, or decision-making systems.
3. Experience with optimization techniques, such as linear programming, dynamic programming, or heuristic algorithms, and their application in large-scale systems.
4. Knowledge of marketplace dynamics, including supply-demand matching, pricing, and incentive systems, particularly in autonomous or transportation-related domains.
5. Familiarity with simulation environments and tools used for validating autonomous systems or optimizing large-scale networks.

For San Francisco, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>Are you passionate about building platforms and product experiences that enable millions of people around the world to thrive? Join the Earner Engineering organization, where we build user-facing experiences and the foundational systems that power the earner journey from the moment someone signs up to their 10,000th trip.</p>
<p>Our mission is to build trust, ensure safety, and drive efficient growth. You will develop a compassionate understanding of earners' needs alongside an analytical mindset to navigate complex marketplace and pricing dynamics. By joining one of our highly cross-functional teams, you will solve high-stakes problems at the intersection of user experience, regulatory compliance, machine learning, and global scale.</p>
<p><strong>About the Team</strong></p>
<p>Within our organization, you will have the opportunity to contribute to several key domains. We have multiple teams hiring, and we will match you to the best-fit team during the interview process.</p>
<p><strong>Offer

Experience

</strong> The Offer Experience team builds the high-scale distributed systems that generate and personalize earning opportunities for millions of users globally. We develop the backend platforms responsible for delivering real-time trips, incentives, and promotions tailored to earner preferences and marketplace conditions. Working at the intersection of Data Science and Marketplace teams, we focus on creating reliable infrastructure that improves transparency and drives product innovation.</p>
Earner screenings: The Earner Screenings team builds the
engineering systems and workflows that power Uber's
background check systems globally for any earner onboarding
to the platform.

Earner Onboarding: We build the platform and funnel
experiences that enable new earners to seamlessly join the
Uber ecosystem. Our work reduces friction across complex
registration flows, adapts to local regulatory requirements,
and supports access to multiple earning opportunities.

Earner Intelligence: We build ML-driven solutions to craft
personalized experiences across the entire earner lifecycle
from acquisition to long-term retention. Our systems employ
sophisticated techniques like Causal ML, Multi-armed
Bandits, GenAI/LLMs and Deep Learning embeddings to
drive efficient business growth and optimize every touchpoint
with our earners.

<p><strong>Vehicle:</strong> We own platforms that power all of Uber’s businesses across Mobility, Delivery, and Autonomous. Our platform sits at the center of connected vehicles, autonomous vehicles, moto, and delivery fleets.</p>
<p><strong>Earner Access Enforcement:</strong> The Earner Access Enforcement team builds the core engine that evaluates eligibility and compliance for every Uber trip worldwide. We design high-scale, centralized systems to enforce safety requirements across all global jurisdictions and business verticals. As one of Uber's most cross-functional teams, we solve complex, "trip-scale" problems that directly impact how millions of earners interact with the platform.</p>
<p><strong>Earner Loyalty & Rewards:</strong> Join the team building global rewards platforms designed to help Uber earners reach their goals. We combine empathy for earner needs with deep analytical insights into marketplace and pricing dynamics to create inspiring, rewarding experiences. Help us build the tools that empower millions of earners to thrive!</p>
<h2><strong>What You Will Do</strong></h2>
<ul>
<li><strong>Design & Scale:</strong> Own the design, development, and operation of backend services (primarily <strong>Golang and Java</strong>) that support millions of users globally.</li>
<li><strong>Technical Leadership:</strong> Transform high-level business problems into elegant, maintainable, and well-documented technical solutions.</li>
<li><strong>Cross-Functional Collaboration:</strong> Partner with Data Science, Design, and Product to ship features, evaluate impact using data, and iterate based on results.</li>
<li><strong>System Integrity:</strong> Drive ongoing efficiency, reliability, and monitoring (alerting/on-call) to ensure our products remain "always-on."</li>
<li><strong>Mentorship:</strong> Lead and mentor fellow engineers, fostering a culture of continuous improvement and engineering excellence.</li>
</ul>
<h2><strong>Basic Qualifications</strong></h2>
<ul>
<li><strong>Experience:</strong> 2+ years of professional backend software engineering experience building and operating production systems at scale.</li>
<li><strong>Technical Stack:</strong> Proficiency in at least one general-purpose language (e.g., <strong>Go, Java, C++, Python, or C#</strong>).</li>
<li><strong>Systems Design:</strong> Hands-on experience with large-scale distributed systems, high-throughput/low-latency architectures, and service-to-service communication.</li>
<li><strong>Ownership:</strong> A strong sense of engineering ownership, including a high bar for code quality and proactive technical debt management.</li>
</ul>
<h2><strong>Preferred Qualifications</strong></h2>
<ul>
<li><strong>Education:</strong> BS/MS/PhD in Computer Science or a related technical field.</li>
<li><strong>Architecture:</strong> Experience with <strong>microservices</strong>, event-driven architectures, and building flexible, configurable "rules engines."</li>
<li><strong>Specialized

Skills

</strong> Experience with <strong>ML/AI implementation</strong>, Data Engineering, or handling <strong>Personally Identifiable Information (PII)</strong>.</li>
<li><strong>Analytical Mindset:</strong> Demonstrated ability to make sound engineering/business tradeoffs and identify opportunities for operational efficiency.</li>
</ul>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.</p>
<p>For Seattle, WA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Senior Machine Learning Engineer – AV Labs

Machine Learning, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match.

As a Senior ML Engineer, you will be at the forefront of Physical AI, developing core components of our Autonomous Driving stack. You will be responsible for the development and implementation of the latest machine learning techniques across the autonomy systems. The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar. You will collaborate with engineers across big data, compute, and cloud engineering to build platforms that harness scale and real-world complexity to reimagine how the world moves.

What the Candidate Will Do

• Autonomous Driving Algorithm Development: Lead the development of algorithms to tackle complex urban environments, focusing on robustness and safety.
• End-to-End AI Implementation: Implement end-to-end AI-driven state-of-the-art methods for autonomy pipelines, leveraging massive-scale real-world data.
• Systems Architecture Design: Architect scalable ML systems, including management of upstream sensor dependencies.
• Technical Leadership: Partner with fellow engineers to architect, design, and build scalable solutions for ML technology that can stand the test of scale and availability.
• Dataset Optimization: Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling.
• Cross-Functional Collaboration: Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production.

Basic Qualifications

• 4+ years of working experience in the ML/Robotics industry.
• Bachelor’s degree in Computer Science, Computer Engineering, or related fields.
• Proficient in Python and Linux environments.
• Familiar with modern AI/ML frameworks (e.g., PyTorch).

Preferred Qualifications

• Experience in the Autonomous Driving domain.
• Proven track record of deploying ML models in safety-critical physical systems.
• Master’s or PhD degree in Computer Vision, Robotics, or Machine Learning.
• Familiarity with C++ and high-performance computing.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Application Developer – Atlassian

Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

At Uber, we don’t just use tools; we build the engines that power global movement. As an Application Developer for Work Management, you are at the heart of our productivity. You’ll design and build the Atlassian-based systems that keep thousands of Uber employees aligned and moving fast.

This isn't just about managing Jira tickets—it's about engineering intelligent, integrated ecosystems. The pace here is intense, and the systems are massive. You will face high stakes and complex technical debt, and you’ll often need to build solutions for problems that don’t have a playbook. We need someone with the grit to dive into the messiness of enterprise-scale configurations and the curiosity to leverage GenAI and Rovo Agents to redefine what’s possible. If you are a systems thinker who stays calm under pressure and cares about building tools that actually work at scale, this is where you’ll grow.

What You’ll Do

• Build and Scale: Design and optimize Jira and Confluence environments that support how our teams move in the real world—where performance and scale are non-negotiable.
• Navigate Complexity: Solve messy, high-impact problems across the Atlassian toolchain (Structure, JEMH, EazyBI, ScriptRunner), often without a clear starting point.
• Automate the Future: Build and maintain AI-powered applications and Atlassian Rovo Agents to automate workflows and turn manual friction into seamless productivity.
• Integrate Deeply: Develop robust integrations using Atlassian REST and GraphQL APIs, ensuring data flows smoothly across our global tech stack.
• Own the Outcome: Own your work end-to-end, from the first requirement gathering session with stakeholders to debugging production issues when the stakes are high.
• Unblock Teams: Work through technical debt and shifting priorities to champion engineering best practices, even when time is tight.
• Collaborate and Influence: Partner across disciplines—Product, Engineering, and Operations—to navigate tension, influence without authority, and ship practical solutions at speed.

Basic Qualifications

• 5+ years of hands-on experience administering and developing solutions on Atlassian platforms (Jira and Confluence Cloud/Data Center).
• Proficiency in Jira workflows, custom fields, schemes, permissions, and advanced configurations.
• Experience with ScriptRunner for automation and workflow enhancement.
• Experience working with Atlassian REST and GraphQL APIs for third-party integrations.
• Experience with Atlassian marketplace apps (Structure, JEMH, EazyBI).
• Demonstrated use of AI-powered developer tools in a daily engineering workflow (e.g., AI-assisted coding or debugging).

Preferred Qualifications

• Experience developing AI-enabled solutions using Atlassian Rovo Agents and LLM integrations.
• Expertise in prompt engineering and agent actions within enterprise workflows.
• Proven ability to design enterprise-scale dashboards and analytics using EazyBI.
• Experience supporting large, complex organizations with rigorous governance requirements.
• Strong systems thinking and the ability to thrive in high-ambiguity environments.

For San Francisco, CA-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$153,000 per year - USD$170,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs.</p>
<p>At Uber AI Solutions, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber’s strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry.</p>
<p>We are looking for an exceptional candidate to lead program delivery and client engagement in the domain of AI training and evaluations - specifically for coding/engineering, agentic AI, data analytics and related fields - in the Engineering Services team of Uber AI Solutions. This is an opportunity for the candidate to build and scale the customer mindshare and impact for coding and data use cases in AI training (for foundational LLMs, agentic AI etc) at Uber AI Solutions, and establish us as a leader in the data annotation and AI training marketplace.</p>
<p><strong>What the Candidate Will Do:</strong></p>
<ol>
<li><strong>Client engagement for presales support</strong> - partner with Sales to interact with prospective clients (AI labs, foundation LLM companies, agentic AI companies, others) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach. Demonstration of a deep understanding of this space during client engagement is a key requirement</li>
<li><strong>Client engagement for program delivery</strong> - represent the service delivery organization (located globally with a predominant India/offshore footprint) and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams</li>
<li><strong>Program delivery</strong> - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required</li>
<li><strong>Innovation and thought leadership</strong> - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI (e.g., opportunity identification, model performance benchmarking) with prospective clients; leverage this expertise to drive talent supply strategy, tech platform and tooling, and any other relevant new capabilities to advance the capability and maturity of this area</li>
<li><strong>Sourcing strategy and implementation inputs</strong> - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals</li>
<li><strong>Tech platform capability and roadmap inputs</strong> - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking</li>
<li><strong>Stakeholder management</strong> - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives</li>
<li><strong>Best practices</strong> - continually improve ways of work, enhance delivery maturity, elevate governance and impact</li>
</ol>
<p><strong>Basic

Qualifications

</strong></p>
<ol>
<li>7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains</li>
<li>Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required. Familiarity with the same for data analytics, ML, agentic AI disciplines additionally is a plus</li>
<li>Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams</li>
<li>Familiarity with strategies for delivery and QC processes in this domain is required</li>
<li>Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services - e.g., via model benchmarking, opportunity identification based on emerging AI industry trends</li>
<li>Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams</li>
<li>Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively</li>
<li>Ability to work in a global organization across locations and time zones</li>
</ol>
<p><strong>Preferred

Qualifications

</strong></p>
<ol>
<li>Education in technical domains like engineering, STEM, business management</li>
<li>Deep knowledge of AI domain - generative AI, agentic AI, LLMs, ML ops - with a curious bent of mind to keep updated on, and participate in, latest developments and research</li>
<li>Strong business acumen, willingness to take smart risks and grow</li>
<li>Ability to get hands-on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture</li>
<li>Sense of ownership - self starter who can take a charter and define goals, execute plans</li>
<li>Good prioritization and time management skills</li>
</ol>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Data Engineer - Growth and Marketing Platform

Data, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

The Growth and Marketing Platform Data Team is looking for a highly skilled and passionate Data Engineer to build and scale Uber’s data infrastructure. In this role, you’ll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power Uber’s growth and marketing initiatives.

You’ll collaborate with Product Managers, Data Scientists, Data Platform Engineers, and Marketing Operations to design scalable, efficient, and reliable data solutions that drive business impact. This is a highly visible and impactful role for someone who thrives on data at scale, technical leadership, and solving ambiguous problems with clarity and precision.

What You Will Do

1. Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.
2. Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.
3. Solve complex challenges at the intersection of low latency, high correctness, and full determinism.
4. Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.
5. Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.
6. Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.

Basic Qualifications

1. 4+ years of experience in data engineering or backend software development.
2. Proficiency in Python, SQL, Java, or Scala for data pipeline development.
3. Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.
4. Data warehouse and Data Modeling experience

Preferred Qualifications

1. Experience in Web and SEO Analytics
2. Experience in Marketing Technologies
3. Designing and executing on Real-time and Near Real-time Systems

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Software Engineer

Backend, Engineering

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

You will drive the development and operations of security services and frameworks that protect Uber’s user-facing products and core platforms. This role is ideal for a strong software engineer with a machine learning background who is excited to apply ML/GenAI techniques to real-world security problems at scale.

The security landscape evolves constantly—and with the rise of ML/GenAI and the growing volume of heterogeneous signals (logs, events, graph data, identity signals, endpoints, network telemetry), the attack surface expands just as quickly. You will design and build robust, scalable systems and data pipelines that enable detection, investigation, and automated response—turning noisy telemetry into actionable security insights. You’ll collaborate closely with security leadership and partner engineering teams to embed security-by-design across Uber’s technology stack.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Build ML-powered security systems: Design, develop, and operate software and services that improve Uber’s security posture, with a focus on detection, classification, and risk scoring.
2. Develop backend infrastructure and ETL pipelines: Build reliable data ingestion, transformation, and feature pipelines to support security analytics and machine learning workflows.
3. Productionize ML for security use cases: Help take models from experimentation to deployment—owning performance, scalability, monitoring, and model/data quality in production.
4. Code review and testing: Maintain high engineering standards through design reviews, code reviews, testing, and operational excellence.
5. Cross-functional collaboration: Partner with teams like network operations, incident response, and compliance to ensure cohesive, end-to-end security outcomes.

---- Basic Qualifications ----

1. BS/MS in Computer Science or a related field
2. 5+ years of industry experience in a software development environment
3. Proficiency in one or more of Java, Golang, SQL, Python
4. Hands-on experience building and operating distributed systems
5. Hands-on experience with machine learning (e.g., feature engineering, training/evaluation, or deploying models)
6. Experience leading projects with global, cross-functional stakeholders
7. Experience mentoring and guiding junior engineers

---- Preferred Qualifications ----

1. Experience with security detection engineering (threat detection, alerting, triage) and/or threat emulation
2. Experience with streaming data processing
3. Experience with deep learning and/or LLM/GenAI approaches applied to security signals
4. Experience with anomaly detection, graph-based detection, or statistical/ML methods for identifying abuse or attacks

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Team</strong> <strong>(We are hiring for multiple teams)</strong></p>
<p>We are building the future of Uber's mobility and logistics platforms. As a software engineer, you will contribute to high-scale, strategically critical systems that impact millions of users and redefine the global transportation and membership landscape.Our teams drive innovation across critical areas including:</p>
<ul>
<li><strong>Maps & Routing:</strong> Building the core technologies for location accuracy, sensor data processing, and state-of-the-art routing algorithms to power ETAs, navigation, and matching for all Uber products.</li>
<li><strong>Uber One Membership:</strong> Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.</li>
<li><strong>Delivery Marketplace:</strong> Delivery Marketplace is a central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for everything: from dispatch decisions, predicting food ready time, delivery times, and optimizing pickup times, to ensuring we deliver the most efficient and impactful solutions for Uber’s most critical business goals</li>
<li><strong>Autonomous Mobility & Delivery (AM&D):</strong> Pioneering the integration of autonomous vehicles into the existing ecosystem, tackling the complex challenge of building a reliable, efficient, and scalable hybrid marketplace for both Rides and Eats.</li>
</ul>
<p><strong>What You’ll Do</strong></p>
<ul>
<li><p>Design, develop, and maintain robust and scalable software solutions</p></li>
<li><p>Collaborate with product managers, cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specifications</p></li>
<li><p>Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to deployment</p></li>
<li><p>Participate in code reviews, provide constructive feedback, and mentor junior engineers to foster a culture of continuous learning and improvement</p></li>
<li><p>Participate in periodic on-call rotations and be available for critical issues</p></li>
<li><p>Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment</p></li>
<li><p>Build and maintain scalable backend services and infrastructure</p></li>
<li><p>Stay up-to-date with the latest technologies and industry trends, evaluating their potential impact on our software systems and recommending appropriate integrations or improvements</p></li>
</ul>
<h2><strong>Basic

Qualifications

</strong></h2>
<ul>
<li>Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field with at least 3 years of full-time Software Engineering work experience OR PhD in Computer Science, Engineering, Mathematics or related field with at least 1 year of full-time Software Engineering work experience</li>
<li>Proficiency in at least one programming language such as Java, C++, Python, or Go</li>
<li>3 years of experience with backend development, building and delivering end-user products.</li>
</ul>
<h2><strong>Preferred

Qualifications

</strong></h2>
<ul>
<li>Master’s degree or higher in Computer Science, Engineering, Mathematics or related field</li>
<li>More than 5 years of full-time Software Engineering work experience</li>
<li>Proven experience building highly available distributed systems (at Uber scale) and working across multiple backend services</li>
<li>Experience working on scalable backend systems utilizing a microservices architecture</li>
<li>High bar for quality as demonstrated by code reviews, documentation, unit and integration testing</li>
<li>Experience with optimization techniques and algorithmic development</li>
<li>Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis</li>
</ul>
<p>For New York, NY-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Software Engineer II

Backend, Engineering

in New York, New York

• Full Time

Apply Now

About the Role

We are building the next generation of automated retail intelligence. Our team transforms images of store shelves into real-time signals that power smarter inventory management.

As a Software Engineer II, you will design and build the backend systems that power this transformation. You will own the pipelines and services that ingest large volumes of image data, orchestrate model inference, and convert raw predictions into reliable, actionable inventory signals.

You’ll work closely with backend engineers, Machine Learning Engineers, Data Scientists, Mobile Engineers, Product Managers, and Operations partners to build systems that are scalable, reliable, and performant in real-world retail environments.

What You Will Do

1. Build Scalable Data Pipelines: Design and maintain robust pipelines that ingest, process, and transform large-scale image and metadata streams into structured inventory signals.
2. Backend Service Development: Develop and operate backend services that orchestrate model inference, post-process predictions, and expose high-quality data to downstream systems and partners.
3. System Reliability & Performance: Ensure high availability, low latency, and fault tolerance across distributed systems handling high-throughput image and prediction data.
4. Data Modeling & Signal Quality: Design data models and processing logic that translate raw model outputs into accurate, consistent, and interpretable inventory insights.
5. Cross-Functional Collaboration: Partner closely with backend engineers, Machine Learning Engineers, Data Scientists, Mobile Engineers, Product, and Operations teams to define requirements, integrate systems end-to-end, and continuously improve the quality and usability of inventory signals.

Minimum Qualifications

• Education: B.S. or M.S. in Computer Science, Engineering, or a related field (or equivalent practical experience),
• Experience: 3+ years of professional software engineering experience;
• Coding Proficiency: Strong proficiency in programming languages including C, C++, Java, Python, or Go;

Preferred Qualifications

1. ML Frameworks: An understanding of PyTorch or TensorFlow, with a track record of building and training custom architectures.
2. CV Fundamentals: A background in modern CV techniques (e.g., YOLO, Faster R-CNN, Vision Transformers, Siamese Networks) and image processing fundamentals.

For New York, NY-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Software Engineer II - Analytics Ecosystem

Backend, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role (Not an intern role/ not a Data science or Data Engineer role) - Software Engineer II

We are looking for a passionate, hands-on Software Engineer to join Uber’s BI & Analytics team, which powers one of the largest business intelligence platforms in the industry. Our team owns the core BI ecosystem and is building the next generation of analytics products with a strong focus on AI-powered experiences, efficiency, and scalability.

This platform enables data-driven decision-making across Uber’s core businesses, including Rides, Eats, Freight, and Risk. We are actively investing in AI-assisted analytics, such as intelligent query generation, automated insights, and conversational interfaces for data.

As an L4 engineer, you will contribute to building and scaling backend systems, data services, and user-facing analytics capabilities, while collaborating closely with experienced engineers and partner teams. The Analytics Ecosystem:

1. Serves 10,000+ weekly active users
2. Processes 3.5M+ queries per week
3. Supports engines such as Presto, Spark, and MySQL
4. Powers tools like uMetric, Bullseye, Enterprise Reports, Looker, and Tableau

What the Candidate Will Do ----

1. Design and build end-to-end BI ecosystem solutions encompassing query creation, governance, optimization, execution, analytic extraction, and visualization, enhanced with AI-assisted features.
2. Contribute to AI-powered BI features, such as query assistants, anomaly detection, and intelligent insights
3. Develop and optimize core components of BI ecosystem, core engines, and services that power data-driven decision-making at scale.
4. Design and implement distributed, low-latency algorithms for interactive and large-scale data processing.
5. Optimize performance of cloud-based SQL BI solutions, with a focus on scalability and user experience.
6. Collaborate with cross-functional teams to deliver impactful data solutions

---- Basic Qualifications ----

1. Bachelor’s degree in Computer Science or related field.
2. 4+ years of experience building BI products and large scale distributed software systems.
3. Solid understanding of Java/GO/Python for backend / systems software development.

---- Preferred Qualifications ----

1. MS in Computer Science, Artificial Intelligence, or a related field.
2. Experience managing production systems with strong availability SLAs.
3. Experience with cloud-based data platforms such as Snowflake, Redshift, or BigQuery.
4. Proficient in BI tools, SQL compiler development, and query plan/runtime optimization.
5. Fluency in Go, Python, and SQL
6. Deep understanding of query planning, optimization techniques, and performance tuning.
7. Experience developing or integrating AI/ML models into data and analytics workflows.
8. Familiarity with conversational AI, AI-driven BI, or intelligent assistants for analytics use cases.
9. Experience designing and implementing frontend/UI components, especially for data-centric applications.

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Software Security Engineer

Security Engineer, Engineering

in Seattle, Washington

• Full Time

Apply Now

About the Role

Uber is seeking a Senior Security Engineer to join our Application Security team. In this role, you will help evolve and extend Uber’s already highly automated AppSec platform by designing and deploying next-generation capabilities, including AI-driven vulnerability scanning, agent-based discovery, and intelligent asset indexing. You will build and operate security automation that continuously identifies vulnerabilities such as XSS, SQLi, CSRF, SSRF, and more across Uber’s application ecosystem.

You will apply strong software engineering fundamentals to build production-grade systems that raise the security bar across Uber’s mobile and web applications. This role offers the opportunity to collaborate closely with engineers across the company, mentor junior team members, make a measurable impact on Uber’s security posture, and continue growing both your software engineering and security expertise.

---- What the Candidate Will Do ----

1. Design, build, and deploy large-scale automation to discover, analyze, and remediate security vulnerabilities across thousands of services.
2. Design end-to-end systems and features for application security platforms, including secret discovery, code scanning, and vulnerability remediation.
3. Identify security-sensitive functionality and coverage gaps across applications and services, and develop automation to close those gaps.
4. Research novel attack techniques and security weaknesses, and automate their detection using innovative tools and approaches.
5. Build distributed backend systems that power real-time analytics and data-driven security insights at Uber scale.
6. Collaborate closely with engineering teams and stakeholders across Security, Privacy, Compliance, Infrastructure, and Product to integrate security capabilities into Uber’s platform.
7. Provide guidance to application and service owners to remediate identified security issues.
8. Perform threat modeling, design reviews, and code reviews to assess security risks in new and existing systems.
9. Mentor junior and new graduate engineers.

---- Basic Qualifications ----

1. Bachelor’s degree in Computer Science, Engineering, or a related field.
2. 5+ years of professional experience in software engineering.
3. Strong programming experience in one or more languages such as Go, Java, C, or Python (Go preferred).
4. Experience identifying and remediating common security vulnerabilities (e.g., OWASP Top 10).
5. Solid understanding of service-oriented and distributed system architectures.
6. Experience designing and implementing REST APIs.
7. Experience with datastore technologies, including relational and NoSQL databases.
8. Familiarity with distributed messaging systems (e.g., Kafka or similar).

---- Preferred Qualifications ----

1. Master’s degree (or Ph.D.) in Computer Science, Engineering, or a related field.
2. Experience designing, implementing, and operating production-quality distributed systems.
3. Experience building real-time data pipelines and analytics systems.
4. Experience integrating open-source security scanners and/or commercial security tools.
5. Expertise across multiple security domains, such as application, cloud, or systems security.
6. Experience performing threat modeling, design reviews, and code reviews.
7. Strong communication skills, with the ability to clearly articulate technical concepts to diverse audiences.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>Uber’s Customer Obsession (CO) org is hiring <strong>Senior Software Engineers</strong> to help build and scale one of the world’s largest <strong>AI-powered customer engagement platforms</strong>. Our systems power <strong>millions of real-time interactions</strong> across web, mobile, chat, voice, and video for riders, eaters, merchants, couriers, and support agents worldwide.</p>
<p>You’ll work at the intersection of <strong>state-of-the-art AI</strong> and Uber’s production-grade engineering infrastructure to deliver <strong>conversational assistants</strong> that are personalized, empathetic, and human-like—while staying aligned with Uber’s business policies and compliance requirements. This is a high-visibility opportunity to shape the next generation of customer assistants and ship products that make a measurable impact at global scale.</p>
<h2><strong>What You'll Do</strong></h2>
<p>We’re looking for a technically strong, product-minded engineer with experience building chatbots and customer-facing systems. You’ll design and deliver <strong>scalable, reliable, and maintainable conversational experiences</strong> by combining <strong>LLM prompting</strong>, Uber’s assistant-building platforms, and robust backend services.</p>
<p>In this role, you will:</p>
<ul>
<li><p><strong>Own and operate customer-facing systems</strong> that influence the support experience for millions of users</p></li>
<li><p>Drive end-to-end execution: identify ecosystem changes needed across Uber engineering, align stakeholders, build consensus, and deliver production-ready implementations</p></li>
<li><p>Build and scale <strong>full-stack systems</strong> that embed AI into real customer workflows and solve distributed systems challenges under heavy traffic</p></li>
<li><p>Help reduce issue resolution from <strong>minutes to seconds</strong> by improving automation quality, reliability, and user experience</p></li>
</ul>
<p>If you’re excited by autonomy, technical depth, and building products that improve experiences for millions of users every day, this is a chance to do meaningful, visible work at global scale.</p>
<h2><strong>Basic Qualifications</strong></h2>
<ul>
<li><p><strong>BS degree or higher</strong> in Computer Science or a related field (or equivalent practical experience)</p></li>
<li><p>5+ years of industry experience as a Software Engineer building scalable, highly available platforms</p></li>
<li><p>Expertise with <strong>large-scale distributed systems</strong> (e.g., Kafka) and cloud platforms ( <strong>AWS, GCP, Azure</strong>) and proven track record leading the delivery of <strong>production-grade systems</strong> (deployment, monitoring, reliability, on-call readiness, incident learning)</p></li>
<li><p>Proficiency in at least one: <strong>Golang, Scala, or Java and</strong> comfortable with scripting in <strong>JavaScript and/or Python</strong></p></li>
<li><p>Strong experience with <strong>microservices</strong> and <strong>gRPC/REST API</strong> design, including defining durable interfaces and platform standards</p></li>
<li><p>Excellent cross-functional communication

skills

crisp design docs, architecture reviews, stakeholder alignment, and technical decision-makings</p></li>
</ul>
<h2><strong>Preferred Qualifications</strong></h2>
<ul>
<li><p>Experience with <strong>machine learning, GenAI, and/or LLM-based systems</strong></p></li>
<li><p>Prior work building <strong>conversational assistants</strong> or chatbot platforms</p></li>
<li><p>Familiarity with dialog management systems (e.g., <strong>Google Dialogflow</strong>, <strong>Amazon Alexa</strong>)</p></li>
<li><p>Familiarity with multi-channel integrations (e.g., <strong>WhatsApp, SMS, Slack</strong>)</p></li>
</ul>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Sr Software Engineer - AV data quality

Backend, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Role

As a Senior Software Engineer in the AV Labs team, you will architect the foundational data integrity layer for our L4 autonomous driving data platform. Your mission is to build a high-performance data layer that validates and safeguards the quality of multi-modal sensor streams across our fleet both in-vehicle and in batch. By bridging the gap between raw robotics telemetry and downstream machine learning, you ensure our systems learn from ground truth, not sensor noise. This role demands technical excellence at the intersection of large-scale data engineering, computer vision and sensor physics.

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

Design and deliver software and tools as part of our state-of-the-art AV data platform

1. Systems architecture design, including management of upstream and downstream dependencies.
2. Lead the systems architecture for end-to-end data validation, managing complex dependencies between raw sensor streams (LiDAR, Camera, IMU, etc.) and downstream ML training environments.
3. Architect scalable solutions that detect various data issues to ensure the platform stands the test of petabyte-scale availability.
4. Partner with Perception, Hardware, Middleware, and Infra Engineering teams to define data quality standards and integrate the latest AI techniques for automated data remediation.
5. Participate in periodic on-call rotations and be available for critical issues

---- Basic Qualifications ----

1. 5 years of working experience in the software engineering industry
2. Bachelor degree in computer science, computer engineering or related fields
3. Proficient in Python/C++ and Linux
4. Proficient in batch cloud computing technologies

---- Preferred Qualifications ----

1. Master or PhD degree in computer science, computer engineering or related fields
2. Proficient in Ray or Spark.
3. Proficient in handling multi-modal autonomous driving sensor data.
4. Experience in Data/AI/ML platform.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Software Engineer (iOS) - Driver App

iOS, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

Millions of drivers and couriers around the world use the Uber Driver App every day. Unlike most app users, the amount of time our earners spend in the Driver app is measured in hours rather than minutes. New features and app improvements have an outsized impact on our user's daily lives, so the quality our app is vital to the foundations of of the Uber experience.

We're looking for a passionate iOS developer to help build and improve the Uber Driver app. As part of the platform team, you'll get to:

1. Architect platforms that other mobile engineers use
2. Solve unique engineering challenges while valuing app stability
3. Build innovative experiences into the app using new technologies
4. Explore and tackle exciting performance optimizations

In the role you'll have the opportunity to work on cutting-edge projects and shape the future of our application. If you are an experienced engineer with a track record of building performant, well architected mobile applications, we want to hear from you!

What you will do

1. Create delightful experiences for our users within our iOS application
2. Elevate the performance of the app with a focus on reliability, recoverability, and tolerance to any network conditions
3. Integrate the latest developments in the iOS ecosystem into our app, e.g. app clips, widgets, Carplay, etc.
4. Architect and develop internal libraries to support cross-team needs
5. Drive best practices in software design, code quality, and system performance
6. Lead code reviews and champion engineering practices across the team
7. Conduct architecture reviews and provide constructive feedback to other team members
8. Work closely with product managers, designers, and other engineers to understand business and technical requirements and translate them into functional software
9. Identify and solve complex technical challenges to optimize application performance and scalability
10. Design, implement, and maintain new features and enhancements to our app
11. Identify and troubleshoot issues, perform debugging and testing, and continuously improve the performance and stability of our application
12. Build internal AI powered tools to optimize engineering time spent oncall
13. Provide technical guidance and consultation to cross-functional teams

Basic Qualifications

1. 5+ years software engineering experience
2. Strong expertise in the Swift programming language
3. Deep understanding of iOS SDKs and iOS engineering
4. Up to date on the latest trends and advancements in the iOS ecosystem, to incorporate them into our development process
5. Product development experience
6. Communication skills and an ability to work in a team and with cross platform stakeholders
7. Participation in the entire software development lifecycle, from concept and design to testing and deployment
8. Experience with writing, releasing, maintaining mobile applications
9. Metric/data driven approach to problem solving
10. Bias for action when finding issues or problems that need solutions

Preferred Qualifications

1. Experience in designing and implementing large-scale mobile applications
2. Familiarity with modern software development practices (e.g. CI/CD, version control)
3. Contribution to open source or other active involvement in the iOS community
4. Leadership and communication abilities, with experience mentoring junior engineers
5. Experience defining a roadmap for an technical initiative, collaborating with or leading other engineers
6. Experience monitoring and analyzing the performance of a mobile application
7. Understanding of microservices architecture, gRPC, and RESTful APIs
8. Track record of driving technical strategy within a team

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Machine Learning Engineer - Earner Incentive

Machine Learning, Engineering

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber’s Marketplace is at the core of the business. The Earner Incentive team in Marketplace builds products and systems that empower drivers through targeted incentives, creating a more balanced and efficient marketplace while enhancing engagement and experience.

The team owns the end-to-end incentive lifecycle, from ML-driven incentive generation to scalable online serving, answering questions such as who, where, when, how, and how much, powered by large-scale machine learning, optimization, and experimentation systems. These systems enable proactive, targeted incentives that shape supply, optimize earnings, and guide marketplace balance.

We are seeking a Senior Machine Learning Engineer to design and scale the technical foundations behind Uber’s driver incentive systems. You will develop and productionize large-scale ML models and decision systems that power both scheduled and near real-time, intelligent incentive generation and delivery at Uber’s global scale.

In this role, you will collaborate closely with engineers, product managers, operations, and scientists to set technical direction, make thoughtful trade-offs, and turn complex problems into reliable production systems. Your work will directly shape how incentives are designed and delivered at scale, enhancing marketplace efficiency and reliability, and empowering earning opportunities for millions of drivers worldwide.

What the Candidate Will Do

• Design, develop, productionize, and operate end-to-end ML solutions and data pipelines for large-scale systems that power driver incentives.
• Develop and apply advanced ML and optimization techniques to design incentive mechanisms for online marketplaces, improving marketplace efficiency and reliability while enabling earning opportunities for millions of drivers.
• Build deep domain expertise in incentives, pricing, and marketplace dynamics, and understand how these systems interact with Operations. Translate business requirements into clear problem statements and actionable technical plans, reasoning through trade-offs to deliver practical, production-ready solutions.
• Help set the team’s technical direction and drive execution in partnership with technical leads. Provide technical mentorship, and review designs and code to maintain high engineering quality.
• Collaborate closely with engineers, product managers, scientists, and Operations to drive clarity, alignment, and delivery of high-impact solutions to complex business problems.
• Own projects end-to-end, from ideation and design through production rollout and iteration, and drive measurable business impact across teams.

Basic Qualifications

• Ph.D., M.S., or Bachelor’s degree in Computer Science, Statistics, Mathematics, Machine Learning, Operations Research, or a related field, or equivalent practical experience with demonstrated impact.
• 5+ years of experience across the end-to-end ML lifecycle, including data analysis, feature engineering, model development, deployment, monitoring, and iteration in large-scale production systems. Proven ability to deliver measurable business impact and strong understanding of MLOps best practices.
• Strong understanding of a broad range of ML and statistical techniques, including deep learning (e.g., multi-task learning, transformers), tree-based models, and classical approaches, with solid judgment in selecting methods based on context and data.
• Proficiency in at least one production language (Python, Scala, Java, or Go) and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• Solid software engineering skills, including system design, writing and reviewing production-quality code, testing, and operating ML systems in production.
• Strong ownership, learning mindset, collaboration and communication skills; able to work independently and effectively in cross-functional teams.

Preferred Qualifications

• Experience developing and deploying pricing, matching, or incentive algorithms for two-sided marketplaces, with strong product intuition and system-level thinking.
• Experience with multi-armed bandits, reinforcement learning, and causal ML, including applying these methods in production systems.
• Familiarity with large-scale data and ML infrastructure (e.g. Spark, Flink), and batch or real-time data processing systems.
• Strong communication and leadership skills, with the ability to lead initiatives, prototype quickly, drive alignment, and collaborate effectively with cross-functional partners, from early idea generation through productionization.
• Experience leading complex technical projects, influencing scope, technical direction, and execution across multiple engineers or teams.
• Ability to translate ambiguous business problems into clear, actionable problem statements, define success metrics, and drive execution through well-reasoned trade-offs.
• Demonstrated technical leadership, such as mentoring engineers, leading cross-functional efforts, or shaping ML / optimization strategy.
• Experience designing, running and analyzing large-scale online experiments to prove impact, interpret results, guide decision-making, and translate insights into concrete product or system changes.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Machine Learning Engineer II

Machine Learning, Engineering

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber’s Marketplace is at the core of the business. The Earner Incentive team in Marketplace builds products and systems that empower drivers through targeted incentives, creating a more balanced and efficient marketplace while enhancing earnings and experience.

The team owns the end-to-end incentive lifecycle, from ML-driven incentive generation to scalable online serving, answering questions such as who, where, when, how, and how much, powered by large-scale machine learning, optimization, and experimentation systems. These systems enable proactive, targeted incentives that shape supply, optimize earnings, and guide marketplace balance.

We are seeking a Machine Learning Engineer to help build and scale the technical foundations behind Uber’s driver incentive systems. You will be responsible for developing and productionizing large-scale ML models and decision systems that power both scheduled and near real-time incentive generation.

In this role, you will collaborate with senior engineers, product managers, and data scientists to implement technical solutions, navigate trade-offs, and maintain reliable production systems. Your work will directly impact marketplace efficiency and empower earning opportunities for millions of drivers worldwide.

What the Candidate Will Do

• Build, productionize, and maintain ML solutions and data pipelines for the large-scale systems that power Uber’s driver incentives.
• Implement and iterate on advanced ML and optimization techniques to improve marketplace efficiency and reliability, directly impacting the earning opportunities of millions of drivers.
• Translate business requirements into actionable technical tasks and practical, production-ready code, navigating technical trade-offs to ensure system reliability.
• Develop a deep understanding of incentives, pricing, and marketplace dynamics to build systems that align with operational needs and business goals.
• Contribute to high engineering standards by participating in design and code reviews, maintaining robust testing, and ensuring the stability of production ML systems.
• Partner closely with engineers, product managers, and scientists to ensure the successful delivery of high-impact solutions to marketplace problems.
• Own technical workstreams from development through production rollout, ensuring consistent execution and measurable impact on your immediate team’s goals.

Basic Qualifications

• Bachelor’s or M.S. degree in Computer Science, Statistics, Mathematics, Machine Learning, Operations Research, or a related technical field, or equivalent practical experience.
• 2+ years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
• Solid understanding of machine learning and statistical techniques, including deep learning (e.g., multi-task learning), tree-based models, and experimentation.
• Proficiency in at least one production-grade language (Python, Scala, Java, or Go) and familiarity with common ML frameworks (e.g., PyTorch, TensorFlow, or scikit-learn).
• Solid software engineering fundamentals, including the ability to write clean, maintainable production code, conduct thorough code reviews, and implement testing best practices.
• Experience operating and monitoring ML models in a production setting, with a basic understanding of MLOps workflows.
• Strong learning mindset, proactive ownership, and effective communication skills; ability to collaborate effectively within cross-functional teams.

Preferred Qualifications

• 3+ years of experience in software engineering specializing in applied ML methods.
• Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
• Proven experience designing and crafting scalable, reliable, and reusable ML solutions using deep-learning techniques and statistical methods.
• Experience developing or deploying algorithms for pricing, matching, or incentive systems within a two-sided marketplace.
• Exposure to or experience with multi-armed bandits, reinforcement learning, or causal inference, specifically within production systems.
• Familiarity with large-scale data and ML infrastructure (e.g., Spark, Flink) and experience working with batch or real-time data processing pipelines.
• Ability to translate well-defined business problems into actionable ML tasks, prototype ideas quickly, and move projects from conception to production.
• Experience working on cross-functional or cross-org projects, partnering with Product, Scientists, and leads to shape technical strategies.
• A detail-oriented, truth-seeking mindset with a focus on producing and valuing analytical evidence to continuously improve technical solutions.

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Software Engineer - Risk and Payment Team (Backend)

Backend, Engineering

in Sunnyvale, California

• Full Time

Apply Now

About the Role

Design and develop robust and high performance systems and solutions that address payment fraud, booster growth as well as optimize user experiences across Uber Products and Lines of Businesses. This involves building highly impactful, real-time risk assessment and intervention systems that process petabytes of data and make billions of predictions/decisions daily.

Collaborate with cross functional teams like Product Manager, Data Scientists/Analysts, Machine Learning Engineers to innovate in Risk domain, contribute to product enhancement, design and develop solutions while adhering to best practices in software engineering

What the Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

1. Design, develop, and maintain robust and scalable software solutions
2. Collaborate with product managers, cross engineering teams, data scientists and other partners to gather requirements and translate them into technical specifications
3. Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to testing and deployment
4. Evaluate and integrate emerging technologies to future-proof our software ecosystem and maintain a competitive technical edge
5. Mentor and guide other engineers, providing technical leadership and encouraging a collaborative team environment

---- Basic Qualifications ----

1. Bachelors (or higher) or a related technical field, or equivalent experience
2. 7+ years of experience in software engineering.
3. Expertise in programming languages such as Java, Go, Python etc. Good scripting skills and ability to pick up new ones
4. Experience in working on large-scale distributed systems and designing data-driven architecture.
5. Experience in shipping scalable, efficient, reliable solutions and resilient code/products that reach millions of users
6. Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis.

---- Preferred Qualifications ----

1. Previous hands-on experience with Risk, Fraud Detection, and Machine Learning.
2. Proficiency in building batch and real-time data pipelines (e.g., using Spark, Flink, Kafka Streams).
3. Contribution to the wider software community through open source
4. Agentic system design and development experience

For Sunnyvale, CA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We’re building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team will be focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race–and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match (millions of Uber trips every hour across cities, conditions, and edge cases create the data autonomy has been missing). We will build platforms that harness scale and real-world complexity to reimagine how the world moves.</p>
<p>You will be a software engineer in AV Labs and involved in the development and implementation of the latest technology for self driving stacks. The ideal candidate will be able to identify issues, provide solutions and implement the fixes as well as setting a high technical excellence bar in all things we do.</p>
<p><strong>What You Will Do:</strong></p>
<ul>
<li>Design and implement the end to end CI/CD pipeline for in vehicle software release.</li>
<li>Manage developer tools for self driving developers.</li>
<li>Evaluate and collaborate with third party self driving development software vendors.</li>
</ul>
<p><strong>Basic

Qualifications

</strong></p>
<ul>
<li>Bachelor degree in computer science, computer engineering or related fields.</li>
<li>5+ years of professional engineering experience</li>
<li>Minimum 3 years of total experience in the self driving industry.</li>
<li>Proficient in CI/CD workflows.</li>
<li>Have experience in self driving development tools for visualization, replay, debugging, etc.</li>
<li>Understand critical CI/CD components in self driving, such as evaluation, simulation, OTA, issue triaging, etc.</li>
</ul>
<p><strong>Preferred

Qualifications

</strong></p>
<ul>
<li>Proficient in Bazel and cross compilation.</li>
<li>Experience in automation with Agentic AI.</li>
</ul>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.</p>
<p>You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Machine Learning Engineer II

Machine Learning, Engineering

in San Francisco, California

• Full Time

Apply Now

About the Role

The Marketplace Signals team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals—such as eyeball ETA, spinner time, and supply reliability indicators—are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions.

What You'll Do

• Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts).
• Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized.
• Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases.
• Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.

Basic Qualifications

• B.S. in Statistics, Mathematics, Computer Science, or Machine Learning
• 2 years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation
• Strong problem-solving skills, with expertise in ML methodologies
• Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems)
• Experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java

Preferred Qualifications

• 3+ years of experience in software engineering specializing in applied ML methods
• Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods.
• Detail-oriented, ownership and truth-seeking mindset.
• Values and produces analytic evidence and insight, as well as applying them to improve technical solutions.
• Experience working in a cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team’s strategies
• Master’s degree in Computer Science, Engineering, Mathematics or related field

For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Software Engineer - Earner Incentive

Backend, Engineering

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Uber’s Marketplace sits at the core of the business. The Earner Incentive team in Marketplace builds large-scale platforms and services that empower drivers through targeted incentives, creating a more balanced, efficient marketplace while improving driver earnings and experience.

The team owns the end-to-end incentive lifecycle, from incentive configuration and generation to high-throughput, low-latency online serving. We build reliable, scalable, and earner-centric platforms and systems that power personalized incentive offers aligned with each earner’s preferences and driving patterns. These systems enable proactive, targeted incentives that shape supply, optimize earnings, and support marketplace balance at global scale.

We are seeking a Senior Backend Engineer to design, build, and scale the core services and data pipelines behind Uber’s driver incentive platforms. In this role,you will focus on backend and platform system design, service reliability, data consistency, and operational excellence, supporting both scheduled and near real-time incentive workflows across Uber’s marketplace.

You will collaborate closely with machine learning engineers, product managers, scientists, and operations partners to set technical direction, reason through trade-offs, and translate complex marketplace requirements into robust, production-ready backend systems. Your work will directly influence how incentives are delivered at scale - improving marketplace efficiency and reliability while enabling earning opportunities for millions of drivers worldwide.

What you will do

1. Design, build, productionize, and operate high-performance, scalable, and reliable backend platforms and data pipelines that power driver incentive systems at large scale.
2. Develop robust marketplace systems and incentive solutions that improve marketplace efficiency, reliability, and enable earning opportunities for millions of drivers.
3. Build deep domain expertise in incentives, pricing, and marketplace dynamics, and understand how these systems interact withOperations. Translate business requirements into clear problem statements and actionable technical plans, reasoning through trade-offs to deliver practical, production-ready solutions.
4. Work with ML engineers and scientists to deliver incentive systems and platforms and continuously improve product performance.
5. Contribute to the team’s technical direction by partnering with leads, designing scalable architectures, reviewing designs and code, and driving improvements in system performance, scalability, maintainability, and maintainability.
6. Drive strong engineering best practices across development, testing, monitoring, and operational excellence to ensure long-term system health and reliability.
7. Collaborate closely with engineers, product managers, scientists, and Operations to drive clarity, alignment, and delivery of high-impact solutions to complex business problems.
8. Own projects end-to-end, from ideation and design through production rollout and iteration, delivering timely results and measurable business impact across teams.
9. Mentor and support the growth of junior engineers.

Basic Qualifications

1. Master’s or Bachelor’s degree in Computer Science or a related field, or equivalent practical experience with demonstrated long-term impact.
2. 5+ years of experience across the full software development lifecycle, including requirements gathering, system design, implementation,testing, deployment, and operating large-scale production systems. Proven ability to deliver measurable business impact and a strong grasp of software engineering best practices.
3. Proficiency in at least one production language, such as Java, Scala, Go, Python, or C++.
4. Strong experience in backend development, including designing microservices, developing APIs, and building reliable, scalable services.
5. Proven track record of delivering impactful product features, balancing engineering quality, reliability, and execution speed.
6. Strong ownership and learning mindset, with excellent problem-solving, collaboration and communication skills; able to work effectively and independently in cross-functional environments.

Preferred Qualifications

1. Experience building and operating pricing, matching, or incentive platforms for two-sided marketplaces or consumer-facing products, with strong product intuition and system-level thinking.
2. Familiarity with large-scale data infrastructure and processing systems (e.g., Spark, Flink, Hive, Cassandra), including both batch and real-time pipelines.
3. Experience collaborating closely with Machine Learning Engineers and ML infrastructure teams, and integrating ML-driven solutions into backend systems to deliver measurable product and business impact.
4. Proven experience leading complex technical projects, influencing scope, technical direction, and execution across multiple engineers or teams, while delivering high-quality features with strong execution velocity.
5. Ability to translate business problems into scalable and robust software solutions, making sound trade-offs to drive meaningful business outcomes.
6. Experience working effectively across team and organizational boundaries, partnering with engineering, product, science, and operations stakeholders.
7. Strong communication and technical leadership skills, including driving alignment, leading initiatives from ideation through production,mentoring engineers, and influencing platform or system architecture.

For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Principal Scientist - Marketplace

Data Scientist, Data Science

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The Principal Scientist role supports Uber Marketplace by optimizing the engine that manages Driver Pricing and Incentives. This means building and deploying the economic models that balance driver earnings, marketplace efficiency, and rider affordability in real-time across thousands of cities globally. The work involves deep causal inference, machine learning on massive, real-world datasets, and owning the core principles that define a healthy, liquid marketplace where you move the real world at enormous scale.

Success in this role requires not only generational technical depth but also the ability to drive high-stakes alignment on ambiguous problems with Director and VP-level leaders in Product, Engineering, and Operations. You will navigate constant trade-offs between short-term growth and long-term marketplace sustainability, demanding a deep trip obsessed mindset to simplify immense complexity. If you are ready to set the technical direction for one of Uber's most critical and high-impact product areas, this is where you will grow with the challenge.

What You’ll Do

• Define the long-term science roadmap for Driver Pricing, matching, and Incentives, translating ambiguous business problems into rigorous, implementable economic and machine learning solutions that drive step-change improvements.
• Design and lead the implementation of complex causal inference and large-scale experimentation (A/B testing) frameworks to measure the true, long-term impact of pricing and incentive policy changes on both driver behavior and overall marketplace health.
• Drive excellence and rigor in science methodologies, leveraging techniques such as machine learning, experimentation, causal inference, time series analysis, and natural language processing to address complex marketplace challenges.
• Build critical, cross-functional alignment with senior Product, Engineering, and Operations leaders, using deep data-driven narratives to advocate for, influence the roadmap of, and secure resources for multi-quarter, multi-team initiatives.
• Act as the organization's technical authority on marketplace dynamics, providing authoritative guidance on model architecture, elevating the science bar across the domain, and mentoring Staff and Senior Data Scientists.
• Unblock critical, large-scale system bottlenecks by investigating and solving data quality, model drift, and real-time performance issues, often requiring deep dives into engineering architecture and production systems.

How you’ll spend your time

• 40% Strategic Research & Model Design (Deep work, defining technical direction)
• 30% Cross-functional Leadership & Alignment (Stakeholder reviews, presenting and influencing)
• 20% Mentorship & Technical Review (Design reviews, guiding team members)
• 10% Production Debugging & Incident Response (Unblocking major, high-stakes issues)

What You’ll Need

• 15+ years of demonstrable experience as an Individual Contributor (IC) in a Data Science, Applied Science, or Quantitative Research role at a high-scale technology company.
• Ph.D. degree in a quantitative field such as Computer Science, Operation Research, Math, Statistics, or Economics; OR 18+ years of relevant experience in lieu of a Ph.D.
• 8+ years of experience directly designing, deploying, and owning real-time machine learning or economic policy systems that govern multi-sided marketplaces or high-volume transactional platforms.
• Demonstrated proficiency in advanced causal inference, large-scale experimentation design (A/B testing), and model development using Python, R, and advanced SQL.

Bonus Points If

• Proven ability to mentor senior and staff-level Scientists, raising the overall technical capability and systems thinking rigor across multiple teams, even without direct reporting lines.
• Deep practical experience navigating technical debt and legacy systems while driving simultaneous, net-new development in a fast-paced environment, reflecting high adaptability.
• Exceptional track record of influencing executive-level product and business leaders through clear, concise, and non-jargon-heavy storytelling, demonstrating strong person orientation/interpersonal influence.
• Experience with advanced economic modeling, optimization techniques (e.g., matching, routing), or other Operations Research techniques applied to real-world, high-stakes environments.

About the Team

The Uber Marketplace is designed to move riders & drivers efficiently from where they are to where they want to go. Every dollar that is transacted in the Uber Marketplace (driver forecasting, dynamic pricing fares, matching driver/rider pricing, and overall marketplace health) is informed and influenced by data – and our Data Science team understands, analyzes, and helps design the algorithms that enable millions of earners and consumers to ride, deliver, eat, and move daily.

Uber operates in a constantly-evolving and competitive environment, across a diverse set of markets and product categories. Assessing the success or failure of a product or investment strategy depends on deeply understanding this context and quantifying the impact with thoughtfully-defined success metrics. Doing this - and doing it well - at Uber’s global scale is an interesting and complex problem with meaningful impact on our P&L. The Marketplace Data Science team applies their expertise in statistical modeling, machine learning, economics, data analysis, and business strategy to build scalable data platforms, generate actionable insights, and drive our algorithm and product development decisions.

For San Francisco, CA-based roles: The base salary range for this role is USD$288,000 per year - USD$320,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$288,000 per year - USD$320,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Applied Scientist II

Data Scientist, Data Science

New York, New York |

San Francisco, California

Full Time

Apply Now

About the Role

We are looking for an Applied Scientist to join our team to solve interesting and impactful business problems in the domain of marketing analytics and ad tech. Ideal candidates need to have strong curiosity on data, and demonstrable ability to successfully apply rigorous scientific methods with proficiency in data analytics knowledge and technical capabilities. This is a unique opportunity to apply your skills and have a direct impact on global business.

What the Candidate Will Do

1. Strong expertise in experimentation design and causal inference methodology, accountable for the end-to-end Paid channel incrementality and optimization testings
2. Build production grade models on large-scale datasets to optimize marketing performance by utilizing advanced statistical modeling, machine learning, and optimization modeling etc
3. Use models to address key growth challenges and provide meaningful insights on problems in Channel Optimization including user value modeling, bidding optimization, targeting optimization etc
4. Work with cross-functional teams to implement and deploy models and improve analytical solutions by providing data-driven recommendations.
5. Use large scale data processing such as Spark, Hive, and Uber’s proprietary machine learning platform, and more
6. Collaborate with marketing leadership, product and engineering teams. Participate in project planning/prioritization meetings, partner meetings, data prioritization meetings, etc

---- Basic Qualifications ----

1. Master’s degree in Statistics, Operations Research, Math, or another quantitative field.
2. Relevant experience in machine learning, optimization and advanced analytics
3. Expertise with Python
4. Advanced SQL skills - comfortable working with very large data sets

---- Preferred Qualifications ----

1. Experience with big data using technologies like Hadoop, Hive, and Spark a plus
2. Previous experience in advertising tech (e.g. market response modeling, forecasting, attribution, targeting, 3rd party data integration, and etc) is a plus
3. Great communication skills, organized, able to multitask, and be a great teammate
4. Ability to balance attention to detail with swift execution
5. Hunger and drive to learn complex topics

For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Scientist II, Delivery (Multiple Teams)

Data Scientist, Data Science

New York, New York |

San Francisco, California

Full Time

Apply Now

About the Role

Scientists at Uber use data to improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Delivery team, which owns all aspects of our delivery experience - from eaters, couriers to merchants!

We are looking for experienced candidates with a passion for solving new and difficult problems with data. In this role, you will be able to utilize your strong quantitative skills to improve the Uber delivery experience as well as the overall marketplace performance.

About the Team (We are hiring for multiple teams)

We are building the most preferred online delivery platform globally and driving innovation across a number of areas including:

• Fulfillment: Delivery is the core of our product. We carefully refine a living and breathing marketplace to balance long run outcomes with the everyday experiences of our customers and couriers.
• Consumer: We help users all over the world find what they need on UberEats. To do so we build state of the art recommendation systems and novel user experiences to help users discover the selection around them.
• Ads: Ads is one of the fastest growing lines of businesses at Uber. We work on end-to-end experience across lines of business, from enrolling advertisers, to designing auction and bidding, and integrating ads into the user experience.
• Offer: We optimize merchant offers, by identifying the optimal selection to make the platform affordable to consumers, by innovating on pricing models to align incentives, and by maximizing return for merchants through targeting.
• Merchant: Dedicated to optimizing merchant experience and driving merchant success at every stage of their lifecycle. We drive strategic and product decisions that expand merchant selections and maximize the value merchants bring to our marketplace.

What You’ll Do

• Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference.
• Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.
• Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
• Design and analyze experiments, present results that provide actionable recommendations.
• Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
• Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.
• Owning the product development cycle end-to-end from data and science aspects.

Basic Qualifications

• Ph.D., M.S., or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 3+ years of industry experience as a Data Scientist or equivalent).
• Strong Python or R foundations and expertise.
• Knowledge of underlying mathematical foundations of statistics, optimization, economics, and analytics. Experience in experimental design and analysis.

Preferred Qualifications

• Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
• Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
• Excellent communication skills across technical, non-technical, and executive audiences.

For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

<p><strong>About the Role</strong></p>
<p>End-to-end product development from a data, analytics, modeling, and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.</p>
<h4><strong>About the Team(We are hiring for multiple teams)</strong></h4>
<p>We are building the future of Uber's mobility and logistics platforms. Our teams drive innovation across critical areas, including:</p>
<ul>
<li><strong>Delivery Marketplace</strong>: A central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for running an efficient marketplace with dispatch & pricing decisions.</li>
<li><strong>Maps</strong>: Building the geospatial technologies for all of Uber, including travel time prediction (ETA), routing, search & ranking, pickup & dropoff recommendation, and trip intelligence. The outputs power marketplace systems like pricing & matching and the core trip experience.</li>
<li><strong>Uber One Membership</strong>: Enhancing user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.</li>
<li><strong>Experimentation Platform</strong>: Building the experimentation platform and the underlying measurement models at Uber, providing reliable, trustworthy and agile experimentation and experiment analysis to power business decisions across the entire Uber ecosystem.</li>
<li><strong>Autonomous Mobility & Delivery (AM&D)</strong>: Pioneering the integration of autonomous vehicles into the existing ecosystem, tackling the complex challenge of building a reliable, efficient, and scalable hybrid marketplace for both Rides and Eats.</li>
</ul>
<p><strong>What You’ll Do</strong></p>
<ul>
<li>Solve ambiguous, challenging business problems using data-driven approaches, including ML, Optimization, and Causal Inference.</li>
<li>Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.</li>
<li>Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.</li>
<li>Design and analyze experiments, present results that provide actionable recommendations.</li>
<li>Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.</li>
<li>Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.</li>
<li>Owning the product development cycle end-to-end from data and science aspects.</li>
</ul>
<p><strong>Basic Qualifications</strong></p>
<ul>
<li>Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.</li>
<li>4+ years of industry experience as an Applied or Data Scientist or equivalent (or 2+ years with Ph.D.).</li>
<li>Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)</li>
<li>Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models</li>
<li>Coding and SQL proficiency, and ability to develop statistical analysis and algorithm prototyping in Python or R.</li>
<li>Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators</li>
</ul>
<p><strong>Preferred Qualifications</strong></p>
<ul>
<li>Ph.D. in Economics, Statistics, Machine Learning, Operations Research or other quantitative fields.</li>
<li>Excellent communication and collaboration

skills

Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams</li>
<li>Experience in leading key technical projects and substantially influencing the scope and output of others</li>
<li>Thought leadership to drive multi-functional projects from concept to production.</li>
<li>Experience in large-scale marketplace algorithm design, membership/consumer growth, or experimentation platform.</li>
<li>Experience with exploratory data analysis, statistical analysis and model development</li>
<li>Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala</li>
</ul>
<p>For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.</p>
<p>For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</p>
<p>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.</p>
<p>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.</p>
<p>Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.</p>

Senior Scientist, Competitive Intelligence

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The Global Intelligence team works to understand the strategy and performance of Uber and other companies with similar products through a combination of external and internal data. Uber operates in a diverse array of markets and product categories filled with rapidly evolving competing options; assessing the success or failure of a product or strategy depends on understanding this context. Doing this, and doing it well, is an interesting and difficult problem. The team uses its expertise in data analysis, statistical modeling, economics, and business to build scalable data products.

We are looking for experienced candidates with a passion for solving new and difficult problems with data. You will build out and own competitive models/metrics, provide key insights, conduct deep dive analysis to understand new opportunities, and empower teams to make more informed business and strategy decisions with competitive intelligence.

What the Candidate Will Need / Bonus Points

• What the Candidate Will Do

• Use data to understand competitors’ performance and to identify improvement opportunities.

• Build statistical, optimization, and machine learning models for applications including pricing, targeting, and experimentation.
• Present findings to senior management to inform business decisions.

• Collaborate with cross-functional teams across disciplines such as product, engineering, and operations to drive competitor intelligence development end-to-end from ideation to productionization.

• Basic Qualifications

• Ph.D., M.S. or Bachelors's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. (If an M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as an Applied Scientist or equivalent).

• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
• Knowledge of experimental design and analysis.
• Experience with exploratory data analysis, statistical analysis and testing, and model development.
• Ability to use Python to work efficiently at scale with large data sets.

• Proficiency in languages and tools like SQL, R, and Spark.

• Preferred Qualifications

• 5+ years of industry experience as an applied scientist or similar

• Experience in competitive intelligence.
• Experience in algorithm development and prototyping.
• Advanced knowledge of statistical methods, causal inference, and machine learning.
• Strong communication skills.
• Self-motivated with the ability to work independently.
• Ability to drive clarity on the best modeling or analytic solution for a business objective.
• Ability to work closely with cross-functional stakeholders to execute decisions.
• Ambition and enthusiasm to seek opportunities to build value.

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Applied Scientist II, Safety

Data Scientist, Data Science

in San Francisco, California

• Full Time

Apply Now

About the Team

We are looking for an Applied Scientist to join the Safety Science Team.

At Uber, Stand for Safety is one of our core values. In this role, you’ll have the amazing opportunity to help contribute to making the Uber platform as safe as possible by leveraging analytics and machine learning. You’ll have a chance to work with a highly cross-functional team, including product management, engineering, and operations to deliver impact.

This will include owning the end-to-end applied science workflow on high visibility projects such as problem scoping, deep-dive analysis to size up opportunities and to surface insights, developing models, and driving experimentation. You’ll be able to present findings to partners and leadership.

About the Role

1. Modeling & Production: Design, develop, and deliver sophisticated applied ML models from ideation to production, ensuring robustness and measurable safety impact.
2. Deep-Dive & Insights: Conduct complex, rigorous deep-dive analyses and causal inference to uncover root causes and identify high-leverage safety opportunities.
3. Experimentation: Own the design, analysis, and interpretation of A/B experiments to rigorously evaluate product and policy changes before platform rollout.

What the Candidate Will Need

---- What the Candidate Will Do ----

1. Modeling & Production: Design, develop, and deliver sophisticated applied ML models from ideation to production, ensuring robustness and measurable safety impact.
2. Deep-Dive & Insights: Conduct complex, rigorous deep-dive analyses and causal inference to uncover root causes and identify high-leverage safety opportunities.
3. Experimentation: Own the design, analysis, and interpretation of A/B experiments to rigorously evaluate product and policy changes before platform rollout.
4. Cross-Functional Influence: Partner closely with Product Managers, Engineers, and Policy teams to translate data-driven insights into critical product features and company-wide safety policies.

---- Basic Qualifications ----

1. Education: Ph.D., M.S. or Bachelor's degree in Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative field, OR equivalent experience.
2. Experience: 3+ years (with Ph.D.) or 5+ years (with M.S. or B.S.) of industry experience building and deploying machine learning models or conducting high-impact applied data science in a large-scale production environment.
3. Technical Depth: Expert proficiency in core machine learning principles, including classification, regression, time series analysis, and causal inference.
4. Programming: High proficiency in at least one programming language (e.g., Python or Scala) and expertise in data manipulation using SQL.

---- Preferred Qualifications ----

1. Ph.D. in Computer Science, Statistics, Mathematics, Operations Research, Economics
2. Professional experience in safety, risk, or fraud
3. Hands-on experience with LLM including high scale production implementations

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Scientist, Earner Experience

Data Scientist, Data Science

in New York, New York

• Full Time

Apply Now

About the Role

The Earner org is responsible for the products and programs that make earning through the Uber marketplace a rewarding experience. As a Scientist, you will leverage your expertise in economics, operations, machine learning, and statistical modeling to improve the efficiency of our platform and help direct the development of our products. This role will have a particular focus on offer decision making and preferences.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

1. Use data to understand product performance and to identify improvement opportunities.
2. Develop novel experimentation and/or measurement methodology for use in large-scale marketplace settings.
3. Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
4. Present findings to inform business decisions.
5. Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.

Basic Qualifications

1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
2. Mininum 4 years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).
3. Experience in experimental design and analysis.
4. Experience with exploratory data analysis, statistical analysis and testing, and model development.
5. Proficiency in Python/R and SQL.

Preferred Qualifications

1. Minimum 6 years of industry/tech experience in applied science, data science, economics, machine learning, and/or optimization roles.
2. Experience in using Python to work efficiently at scale with large data sets.
3. Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
4. Experience in algorithm development and prototyping.
5. Experience in pricing optimization and/or marketplace design.
6. Experience in designing large scale experiments in complex environments.
7. Well-honed communication and presentation skills.

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Scientist, Rider Experience

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California

Full Time

Apply Now

About the Role

Scientists at Uber use data to measure, analyze, and optimize all of Uber's products. On the Rider Experience Science team, you’ll have the opportunity to work on the core mobility business and influence the experience for millions of riders. We drive growth in the mobility business by understanding how riders use the app, delivering a seamless experience, and creating new personalized features.

The Science work we do is diverse and helps to drive every stage of product development. Our toolkit includes experimentation, product analytics, and ML modeling. You will collaborate with other scientists, product managers, and business teams to understand the challenges in our space, then tackle problems that no one else has solved yet.

Some of the key projects will include optimizing the rider conversion funnel, developing AI systems to understand metric trends, and running large scale experiments to improve the UX. In this role, you’ll have exposure to many of the teams within Uber and an opportunity to influence the strategy for a core pillar of Uber’s business.

What You'll Do

1. Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of data, our customers, and our business.
2. Design experiments and interpret the results to draw detailed and impactful conclusions that inform our decisions.
3. Define how our teams measure success by developing metrics in close partnership with cross functional partners and creating AI systems to understand metric movements.
4. Develop data-driven insights and work with cross-functional partners to identify opportunities to improve the long-term strategy and product roadmaps.
5. Collaborate with other Scientists and Engineers to build and improve data foundations.
6. Present findings to business and executive audiences.

Basic Qualifications

1. Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
2. Mininum 3 years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).
3. Experience in experimental design and analysis.
4. Experience with exploratory data analysis, statistical analysis and testing, and model development.
5. Proficiency in SQL and either Python or R.

Preferred Qualifications

1. Minnum 7 years of industry experience as a Data Scientist or equivalent.
2. Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
3. Experience collaborating with very senior stakeholders (Director+) and generating insights to shape strategy.
4. Experience using statistical methodologies in a marketplace context.
5. Experience guiding and mentoring other Data Scientists.

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Senior Scientist, Direct

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California

Full Time

Apply Now

About the Role

We’re hiring a Senior Scientist for the Uber Direct team—one of Uber’s fastest-growing and most dynamic business lines. Uber Direct enables merchants, enterprises, and consumers to get anything delivered, from retail returns and prescription deliveries to cross-country shipments. This role offers a rare opportunity to help define a new category of delivery beyond food and mobility, and to reimagine what on-demand logistics can look like at global scale.

In this role, you will serve as a thought partner to cross-functional leaders and help set the scientific strategy for building a healthy, efficient, and scalable three-sided marketplace. We are looking for a candidate with deep expertise in Economics, Operations Research, or a related quantitative field, and a strong passion for designing foundational marketplace systems that extend beyond existing food-delivery paradigms.

You will work closely with Product, Engineering, Operations, and fellow Scientists to develop a deep understanding of marketplace dynamics. You will design incentive mechanisms and build models and algorithms that power pricing, matching, batching, fulfillment efficiency, and other core systems. This role is highly influential, with direct impact on the evolution of Uber Direct’s marketplace architecture, ensuring that our products and decisions are grounded in rigorous scientific thinking.

What the Candidate Will Need / Bonus Points

What You Will Do

1. Leverage advanced analytical and quantitative techniques—including machine learning, statistical modeling, causal inference, funnel analysis, and deep-dive analytics—to build a best-in-class delivery experience for Uber’s Direct business.
2. Translate complex analyses into clear, actionable insights and effectively communicate findings to executives, business leaders, and cross-functional stakeholders to shape product and business strategy.
3. Collaborate closely with Product, Engineering, and Operations teams to define and drive a roadmap of high-impact initiatives, ensuring that marketplace design, pricing, and fulfillment strategies are informed by rigorous analysis and competitive intelligence.
4. Provide technical mentorship and thought leadership, raising the bar for scientific rigor, championing best practices in statistical and machine learning methodologies, and fostering a strong culture of data-driven decision-making.

Basic Qualifications

1. Ph.D., M.S., or Bachelor's degree in Economics, Operations Research, or a related quantitative field (e.g., Statistics, Applied Mathematics, Computer Science with a strong modeling focus).
2. Strong foundation in marketplace modeling and dynamics, including experimental design (e.g., A/B testing), causal inference, and optimization techniques.
3. Proficiency in SQL and experience using Python or R for data analysis, modeling, and prototyping.
4. Demonstrated ability to extract insights from complex datasets, distill them into actionable strategies, and influence product and business decisions.
5. Excellent written and verbal communication skills, with the ability to clearly explain technical concepts to cross-functional stakeholders and drive alignment across teams

Preferred Qualifications

1. Ph.D. with minual 5 years of industry experience as an Applied Scientist, Data Scientist, or in a similar quantitative role.
2. Deep expertise in pricing, marketplace modeling, or optimization, particularly in the context of complex multi-sided platforms.
3. Advanced knowledge of experimental design and causal inference techniques, including observational studies and quasi-experimental methods.
4. Hands-on experience working with messy, incomplete, or noisy datasets to generate insights and drive real-world impact.
5. Proven ability to collaborate and influence senior stakeholders (Director level and above) through clear, data-driven recommendations.
6. Strong judgment and critical thinking skills, with a track record of navigating ambiguity, setting priorities, and making high-quality decisions in a fast-moving environment.

For New York, NY-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$190,000 per year - USD$211,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Scientist II, Airports and Travel

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

Airports and Travel is one of the fastest growing segments of Uber. We focus on creating magical end-to-end experiences for Uber travelers - be it a short business trip, or a long vacation. We own all aspects of traveling user’s experience, from pricing and promos, to tailored experience at each airport, to unique in-app travel experiences. We are looking for a Data Scientist who can deep dive into data and produce insights that can guide the development of the next generation of products for Uber travelers.

You will be a thought leader who will work with product managers, engineers and fellow data scientists to shape the future of Uber travel products. You will work in a fast paced environment and use planet scale data to deliver planet scale impact. This role will need a deep understanding of data, strong communication skills, and solid knowledge of experimentation.

What the Candidate Will Need / Bonus Points

What the Candidate Will Do

1. Solve open-ended and ambitious business problems using data (e.g. how can we increase Uber Eats usage for travelers by 50%? What is the biggest pain point that reduces Uber usage while traveling internationally?)
2. Develop data driven hypotheses, run experiments to test them, and communicate results to your stakeholders and business leaders to shape business strategy.
3. Define metrics that best measure business health, and monitor them to ensure strong execution.
4. Collaborate with cross-functional teams such as product, engineering and operations to drive a culture of data driven decision making.

Basic Qualifications

1. Bachelor's or M.S. degree in Economics, Operations Research, or a related quantitative field (e.g., Engineering, Applied Mathematics, Computer Science with a strong modeling focus).
2. Mininum 2 years experience in improving products, understanding the user journey and extracting user behavior insights from large datasets.
3. Proficiency with Python and SQL for exploratory data analysis and modeling.
4. Excellent analytical skills, with experience extracting user behavior insights from large datasets.
5. Foundational knowledge in at least one of the following areas: machine learning, statistics, optimization, causal inference, or economics.
6. Exceptional communication skills across technical, non-technical, and executive audiences.

Preferred Qualifications

1. Mininum 3 years of relevant industry experience as a Product Data Scientist, Applied Scientist, or equivalent.
2. Experience in statistical methods, causal inference from observational data, and choice modeling.
3. Experience in building data pipelines, designing metrics and tables, dashboards, etc.
4. Experienced in using AI to hypercharge productivity and delivering 10x impact.
5. Prior experience in rideshare or a related domain (marketplaces or gig economy etc.).

For New York, NY-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$161,000 per year - USD$179,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Scientist, Rider Personalization

Data Scientist, Data Science

New York, New York |

Seattle, Washington |

San Francisco, California |

Sunnyvale, California

Full Time

Apply Now

About the Role

The Rider team is the centerpiece of the Uber consumer experience, owning the core flagship app used by over 100M+ monthly active users.

The Personalization team is looking for a Staff Scientist who can help us innovate on our AIML efforts and tackle the next frontier of challenges in ranking & recommender systems.

As a Scientist, you will leverage your machine learning expertise to transform our homescreen feed, help grow the cross-platform business, and ultimately improve user satisfaction through one of Uber's most impactful channels.

What the Candidate Will Need / Bonus Points

What You Will Do

1. Play a tech lead role in framing cross-line-of-business optimizations and architecting novel ML solutions
2. Prototype these solutions using Uber's internal ML model development tools
3. Influence and align engineering & product on the AIML roadmap for homescreen ranking
4. Help identify system-wide improvements to Uber Rider ranking and recommendations, including adoption of the latest technologies in ranking and recsys

Basic Qualifications

1. Strong background in designing ML systems for ranking and recommendation
2. Ability to set up multi-objective optimizations that trade off the needs of different lines of businesses
3. Comfortable with high degrees of complexity and ambiguity
4. Deep experience in large-scale consumer tech

Preferred Qualifications

1. Knowledge of latest innovations in ranking and recsys including transformer architecture
2. Understanding of consumer platform businesses

For New York, NY-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now

Staff Scientist - Reservations

Data Scientist, Data Science

in Seattle, Washington

• Full Time

Apply Now

About the Role

The Reservations data science team owns the experience and algorithms powering the Uber Reserve Product in the Rider and Driver app. We optimize the user experience for both Riders and Drivers, matching, dispatch and pricing algorithms, as well as growth levers to deliver magical experiences and business value.

The Reserve product is moving from a nascent mvp product to a more mature product, we have delivered on most of the “low hanging fruit” initiatives to improve the experience, building levers to customize the product and handle edge cases to consistently deliver high reliability. Currently, our focus is shifting towards driving efficiency to improve our unit economics and to drive adoption and growth.

Some of the key projects involve major changes in Pricing, Matching and Dispatch that involve transitioning from heuristic based decision making to building machine learning models to make key decisions in real time, as well as important changes to Driver and Rider experience, including discoverability and awareness generation levers, and finally piloting new use cases that leverage the Reserve Tech as a platform to unlock new vectors of growth.

What You Will Do

1. Deploy a wide variety of methodologies, including causal inference techniques, funnel analyses, and econometric modeling to identify our largest business opportunities.
2. Work together with Product, Operations, and Engineering partners to design a roadmap of features and initiatives as well as the long-term team strategy.
3. Run large scale experiments to validate the impact of new features.
4. Present findings to business and executive audiences

---- Basic Qualifications ----

1. Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathemathics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
2. 6+ years of industry experience as an Applied or Data Scientist or equivalent.
3. Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn), underpinned by a solid grasp of MLOps practices, including design documentation, testing, and source code management with Git.
4. Agile project management capabilities, adept at using tools like JIRA, and a driven problem-solver with a passion for impacting the retail sector at scale.
5. Advanced skills in the development and deployment of large-scale ML models
6. Experience in experimental design and analysis (e.g., A/B and market-level experiments), causal inference.
7. Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.

---- Preferred Qualifications ----

1. Strong experience in causal inference, optimization, and machine learning
2. Experience in algorithm development and prototyping.
3. Ability to drive clarity on the best modeling or analytic solution for a business objective
4. Expertise in causal inference, A/B testing designs, multivariate testing, and other advanced analytical methods.
5. Experience in designing highly scalable, resilient systems for customer-facing applications and familiarity with optimization techniques.
6. Design, develop, productionize, and operate econometric models, experiments, and frameworks to assess challenging causal problems such as product incrementality and long-term value
7. Propose, design, and analyze large scale online experiments
8. Build statistical, optimization, and machine learning models for a range of applications.
9. Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
10. Knowledge of advertising targeting and measurement solutions, digital marketing analytics tools, and specific technologies such as GCP, BQ, and Elastic/SOLR/Vector Search.
11. Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization

For Seattle, WA-based roles: The base salary range for this role is USD$216,000 per year - USD$240,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Apply Now