Job Listings

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Currently enrolled in a master's, or PhD program in Computer Science, Electrical Engineering, or a related STEM field. Completed at least 2 academic courses or projects involving machine learning systems. At least 3 years of experience programming in Python, C++, or a similar systems-oriented language through work, projects, or research. In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Demonstrable Contribution to open-source ML framework or ML systems software. Deep and strong understanding of transformer-based model architectures, including attention mechanisms, KV cache behavior, and common training and inference bottlenecks. Experience with modern ML frameworks and runtimes such as PyTorch, Hugging Face Transformers, SGLang, vLLM, or TensorRT-LLM. Experience with GPU or accelerator programming using CUDA, Triton, or similar tools, and familiarity with profiling and performance analysis. Familiarity with benchmarking and performance profiling tools for ML workloads. Working knowledge of low-precision numeric, quantization methods, or hardware-software co-design considerations for large-scale model efficiency is a plus. Coursework, research, or project experience in areas such as ML systems, model optimization, kernel development, or numerical computing. Proficient analytical and problem-solving skills, with an interest in ML systems and computational performance.

Overview

Core AI is at the forefront of Microsoft’s mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software.

The Agentic Core Services Team is responsible for building the cloud-native, distributed platform that powers the development, execution, and management of agentic applications at scale. Our mission is to provide the foundational infrastructure and runtime systems that enable developers to build intelligent, autonomous, and enterprise-grade AI agents with confidence and agility.

In this role, you will help define the future of software and application development. You will shape how developers interact with our platform—from programming models and user experiences to the design of a managed, distributed runtime that orchestrates agent-based AI applications at scale with enterprise-grade guarantees. You’ll work at the cutting edge of AI research, collaborating with some of the brightest minds in generative AI, and integrating the latest breakthroughs in multi-modal capabilities (text, audio, video) into real-world agentic applications.

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We live this mission every day through a culture that embraces a growth mindset, values diverse perspectives, and encourages continuous learning. We believe in creating an environment where individuals bring their best selves to work, collaborate openly, and build technology that makes a meaningful impact. Join us and help shape the future of the world.

Responsibilities

• Shape the Product Vision: Define and influence the product roadmap by aligning technical strategy with business goals and customer needs.
• Drive Strategic Clarity: Leverage data-driven insights and competitive intelligence to inform product direction, identify opportunities, and guide decision-making.
• Architect for Scale and Sustainability: Design and evolve durable, scalable system architectures that balance long-term maintainability with short-term delivery needs, making thoughtful engineering trade-offs.
• Foster Engineering Alignment: Work with the engineering teams and partner organizations by driving clarity, alignment, and shared ownership of technical direction.
• Deliver Cohesive End-to-End Experiences: Collaborate closely with partner teams—including experience, SDK, and platform groups—to ensure seamless integration and delivery of features across the stack.
• Build Foundational Capabilities: Contribute to and lead the development of core platform components and reusable building blocks that accelerate team velocity and product innovation.
• Champion Customer-Centric Development: Engage directly with customers and product teams to capture feedback, understand demand signals, and refine product messaging—ensuring the voice of the customer shapes product evolution.
• Lead Live Site Excellence: Drive operational excellence in managing and operating large-scale distributed systems with a high bar for service-level agreements (SLAs). Lead root cause analyses (RCAs) for key live site incidents and outages, identify systemic improvements, and set high standards for reliability and performance.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years

Preferred Qualifications:

• Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

As a Member of Technical Staff - Machine Learning (AI Team), you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Microsoft Superintelligence Team
Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Responsibilities

• Leverage subject matter expertise to improve model quality for interactive and agentive experiences.
• Oversee data acquisition or generation efforts, ensuring that the data meets the model needs.
• Generalize machine learning (ML) solutions into repeatable frameworks.
• Lead evaluation efforts of models, including those deployed within Microsoft products and the Cloud API.
• Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions.
• Independently write efficient, readable, extensible code and model pipelines.
• Commit to a customer-oriented focus by acknowledging customer needs and perspectives and building AI products that delight customers.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

• Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).
• OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products).
• OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
• Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience).
• 4+ years of data science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).
• Experience prompting, evaluating, and working with large language models.
• Experience writing production-quality Python code.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life. Research Interns not only advance their own careers, but they also contribute to exciting research and development strides. During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community. Research internships are available in all areas of research, and are offered year-round, though they typically begin in the summer. Design and implement research prototypes for real-time situated and adaptive interaction. Explore the use of the latest generative AI techniques related to interpreting multimodal interaction, conversation, and behavioral signals. Conduct user studies and analyze multimodal data. Contribute to publications and share findings with the research community. Designed, implemented, and evaluated different personality styles for AI agents, varying factors such as communication style, voice characteristics, and emotional tone to study their impact on user experience, engagement, and trust. Working with multimodal AI models Currently enrolled in a PhD or equivalent program in HCI, HRI, Computer Science, Cognitive Science, Robotics, Electrical Engineering, Psychology, or related STEM field. At least 2 years of research experience using human-centered approaches in HCI, HRI, ML, CV, or Affective Computing. In addition to the qualifications below, you'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples. After you submit your application, a request for letters may be sent to your list of references on your behalf. Note that reference letters cannot be requested until after you have submitted your application, and furthermore, that they might not be automatically requested for all candidates. You may wish to alert your letter writers in advance, so they will be ready to submit your letter. Please include a cover letter indicating which of the research topics you are most interested in and aligned with. Be sure to indicate which of the specific preferred qualifications (listed below) you possess. We are looking for some combination of the following qualifications (please address these in your cover letter): Experience writing peer-reviewed publications. Experience with generative AI techniques, ML frameworks (e.g., PyTorch), and real-time interactive systems. Strong collaboration and communication skills. Conducting human-subjects research. Experience implementing research prototypes (frontend, backend, or both). Using human-centered design & research methods. Familiarity with reinforcement learning or time-series signal processing. Working with large datasets (e.g., text, vision, physiology, behavioral). Experience collecting data with wearable devices. Experience prototyping real-time conversational AI agents using tools such as the OpenAI Realtime API, including function calling, and supporting interactions via text, voice, and other interfaces.

Overview

Microsoft AI is looking for a Member of Technical Staff – Full Stack Software Engineer to help build the next wave of capabilities for our personalized AI assistant, Copilot. At Microsoft AI, we push boundaries to deliver exceptional products and services that empower users to be more productive and efficient. If you are passionate about innovation and want to shape the future of AI, this is your opportunity.

In this role, you will work across all four stages of our evaluation platform: data sampling, AI data collection and processing, data analysis and evaluation, and insight generation. You will contribute across the full stack—from backend databases and middle-tier services to browser automation, statistical analysis, and dashboard creation. Expect to dive into prompt engineering and leverage cutting-edge AI tools to drive meaningful impact.

This engineering position offers exposure to a wide range of technologies and surfaces, including desktop, web, and mobile. You will collaborate closely with teams across Microsoft AI to assess Copilot’s relevance, performance, trustworthiness, and visual appeal. Our platform supports desktop and mobile automation and UX studies—enabling scenarios like multi-turn conversations with voice input on iOS and Android apps. The possibilities are endless.

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. This Copilot team collaborates with Bing, Edge, MSN, and Shopping. Join us in shaping the future of personal computing powered by AI. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

By applying for this position, you are required to be local to Redmond, WA or Mountain View, CA locations and in office 4 days a week.

Responsibilities

• Expertise in experimentation methodologies, including A/B evaluation, data sampling, measurement techniques, evaluation design, and data analysis.
• Demonstrating strategic vision by understanding organizational goals, translating metrics into actionable insights, and enhancing product quality.
• Designing pipeline architecture to ensure rapid iteration and scalability.
• Conducting post-analysis of labeled data and developing dashboards to visualize insights.
• Collaborating closely with the product team to enhance quality and address gaps.
• Embody our Culture and Values.

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to C#, Java, or Python
• OR equivalent experience.

Preferred Qualifications:

• 2+ years’ experience with SQL, PostgreSQL or MySQL
• 2+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
• Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code
• HTML, CSS, JavaScript, ASP.NET, REST, jQuery
• Familiarity with browser automation tools like Selenium, Puppeteer or Playwright
• Familiarity with mobile automation tools like Appium
• Familiarity with LLMs and AI ChatBots
• Prompt EngineeringAzure DevOps, GIT
• Azure Open AI, Azure Foundry
• Experience in leading technical projects and supporting architectural decisions with data.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Help build the world’s most advanced multimodal dataset at Microsoft AI

We are on a mission to create the largest and most advanced multimodal dataset in the world. This dataset, spanning all modalities from across the web and beyond, will power the training of the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment.

The AI Data Infra team at Microsoft AI is responsible for building data infrastructure to help MAI teams to generate the biggest and best training dataset. Our work involves data pipelines, Spark, Ray, Vector Databases, and all other aspects of data infra.

We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who:

Are passionate about the role of data in large-scale AI model training

Will thrive in a highly collaborative, fast-paced environment

Have a high degree of expertise and pay close attention to details

Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies

Effectively manage multiple responsibilities and can adjust to shifting priorities.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Microsoft Superintelligence Team
Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI towardHumanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Responsibilities

Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).

Own and maintain critical data infrastructures, including spark, ray, vector databases, and others.

Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.

Partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation.

Embody our culture and values.

Qualifications

Required Qualifications:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
• OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ year(s) experience in business analytics, data science, software development, or data engineering work
• OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling or data engineering work
• OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years of business analytics, data science, software development, data modeling or data engineering work experience
• OR equivalent experience.

Data Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

Join Microsoft AI in building one of the world’s most advanced foundation models. Our mission is to push the boundaries of scale, performance, and deployment, creating frontier AI systems that power transformative experiences across Microsoft.

The Multimodal team tackles some of the most challenging problems in deep learning at scale. Our work forms the backbone of initiatives across Microsoft AI, enabling breakthroughs that shape the future of AI.

What We’re Looking For

We seek exceptional individuals who:

• Bring proven expertise, demonstrated through impactful publications or technical leadership on high-scale projects.
• Possess strong analytical skills, attention to detail, and a data-driven approach to decision-making.
• Have experience with large-scale distributed systems and scalable architectures.
• Thrive in fast-paced, collaborative environments and embrace innovation.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines.
• Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not.
• Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis.
• Innovate and iterate over ideas, prototypes, and product.
• Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback.
• Advance the AI frontier responsibly.
• Embody our culture and values.

Qualifications

Required Qualifications 

• Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

• OR equivalent experience.

Preferred Qualifications: 

• Master's Degree in in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

• OR Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

• OR equivalent experience.

• Experience with large-scale AI systems — design and deployment of distributed architectures, multimodal or conversational models; proficiency with ML frameworks (e.g., PyTorch, TensorFlow) and cloud/HPC environments (e.g., Azure).

• Expertise in data engineering for foundation models — multimodal dataset design, curation, annotation pipelines, quality evaluation, bias detection, and understanding of privacy, compliance, and Responsible AI principles.
• Background in LLM interaction and deployment — practical work in prompt engineering, safety-aligned evaluation, and integration of conversational AI into production systems.
• Cross-functional collaboration and communication — ability to produce clear technical documentation, partner with engineering, product, and design teams, and contribute to knowledge sharing; demonstrated application of emerging AI technologies and best practices.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about designing and curating high-quality datasets to power frontier AI models, this role is for you.

In this role, you’ll work at the intersection of data and innovation—collaborating with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You will lead efforts to:

• Develop novel data collection strategies
• Improve dataset quality and integrity
• Understand data-driven model behaviors
• Align datasets with ethical and societal values

This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data.
• Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation.
• Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement.
• Build lightweight tools and workflows for dataset auditing, visualization, and versioning.
• Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices.
• Embody our culture and values.

Qualifications

Required Qualifications:

• Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

• OR equivalent experience.

Preferred Qualifications:

• Master's Degree in in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

• OR Bachelor's Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or related technical discipline AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)

• OR equivalent experience.

• 2+ years of experience in data analysis or data engineering, including work with large-scale datasets that are unstructured or semi-structured.

• Proficiency in statistics and exploratory data analysis methods.
• Familiarity with data processing frameworks such as Spark, Ray, or Apache Beam.
• Ability to communicate technical findings clearly to research and product teams.

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. We’re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.

Help deliver one of the best foundational models in the world at Microsoft AI. 

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re looking for highly motivated and detail-oriented Technical Program Managers to help bring our vision to life. We are seeking outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who:

• Deeply understand the pipeline of collecting data, training, evaluating, and serving language models and multimodal models.

• Have experience working side-by-side with AI researchers and engineers.

• Thrive in a 0->1, scrappy, innovative environment.

• Are passionate about managing high-stakes, time-sensitive, large-scale programs.

• Take initiative and enjoy finding paths through complexity in a fast-paced environment.

• Are comfortable owning projects that span offices, teams, and time zones, can coordinate different workstreams, and drive to relentlessly unblock progress.

• Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies.

• Possess strong technical curiosity and judgment.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Coordinate projects and programs including all elements of end-to-end program planning, timelines, milestones, performance metrics, risk anticipation/mitigation and resource needs for programs and product cycles.

• Collaborate with product teams, engineers, researchers, and external partners to identify gaps and drive timelines toward resolution and mitigation.

• Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of quality and efficiency programs.

• Foster a culture of collaboration, continuous improvement, and growth.

• Own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery.

• Communicate program strategies, progress, and results to executive leadership and key stakeholders, advocating for quality and efficiency within the team.

• Work closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback.

• Advance the AI frontier responsibly.

• Embody Microsoft’s culture and values.

Qualifications

Required Qualifications

• STEM bachelor's degree AND 6+ years' experience in working with AI researchers, product/technical program management, data analysis, or product development 
  OR equivalent experience.

• 6+ years' experience managing cross-functional and/or cross-team projects.

Preferred Qualifications

• STEM bachelor's degree AND 10+ years' experience in working with AI researchers, product/technical program management, data analysis, or product development 
  OR equivalent experience.

• 10+ years' experience managing cross-functional and/or cross-team projects.

Technical Program Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Technical Program Management IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview

At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. Our Compute team tackles some of the most complex challenges in deep learning infrastructure, enabling large-scale training and serving of foundation models that power initiatives across Microsoft AI.

Help deliver world-class compute infrastructure for foundational AI models at Microsoft AI.

Microsoft Superintelligence Team

Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re seeking highly motivated and detail-oriented Technical Program Managers to help bring our vision to life. Ideal candidates will:

• Deeply understand the design, deployment, and optimization of large-scale compute infrastructure for AI/ML workloads.

• Have experience collaborating with AI researchers, engineers, and infrastructure teams to deliver robust, scalable solutions.

• Thrive in a scrappy, fast-paced, innovative environment, managing high-stakes, time-sensitive, large-scale programs.

• Take initiative and enjoy navigating complexity, driving progress across offices, teams, and time zones.

• Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies in compute and infrastructure.

• Possess strong technical curiosity and judgment.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Drive projects and programs related to compute infrastructure, including forecasting and allocation resource needs like compute, storage, network.

• Collaborate with product teams, engineers, researchers, and external partners to identify gaps and drive timelines toward resolution and mitigation.

• Leverage data and analytics to define metrics, set baselines and targets for fleet efficiency & optimize.

• Advocate for AI team’s resource needs with exec and working level partners across Microsoft.

• Foster a culture of collaboration, continuous improvement, and growth.

• Own the status of key compute projects, proactively identifying risks and proposing solutions to ensure timely delivery.

• Communicate program strategies, progress, and results to executive leadership and key stakeholders, advocating for quality and efficiency within the team.

• Work closely with teams on infrastructure, pre-training, post-training, and product to drive resource allocations and configurations.

• Advance the AI frontier responsibly.

• Embody Microsoft’s culture and values.

Qualifications

Required Qualifications

• Bachelor’s Degree AND 6+ years' experience in technical program management, infrastructure engineering, AI/ML, or product development 
  OR equivalent experience.

• 6+ years' experience managing cross-functional and/or cross-team projects.

Preferred Qualifications

• Bachelor’s Degree AND 10+ years' experience in technical program management, infrastructure engineering, AI/ML, or product development 
  OR equivalent experience.

• 10+ years' experience managing cross-functional and/or cross-team projects.

Technical Program Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Technical Program Management IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.