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New York, United States

Technical Program Manager – Generalist (AI/ML) Technical Program Manager – Generalist (AI/ML)

Location
New York, United States
Job Number
200012533-en-3
City
New York
Team
Microsoft Superintelligence
Country
United States
Discipline
Technical Program Management
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. 



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.

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Technical Program Manager – Compute Technical Program Manager – Compute

Location
New York, United States
Job Number
200011335-en-3
City
New York
Team
Microsoft Superintelligence
Country
United States
Discipline
Technical Program Management
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.



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.

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Technical Program Manager – Azure (AI/ML) Technical Program Manager – Azure (AI/ML)

Location
New York, United States
Job Number
200011325-en-3
City
New York
Team
Microsoft Superintelligence
Country
United States
Discipline
Technical Program Management
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 Azure team builds and optimizes cloud infrastructure and services that enable large-scale training, deployment, and serving of foundation models across Microsoft AI and the broader Azure ecosystem. 

Help deliver world-class AI solutions on Azure 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 cloud infrastructure, distributed systems, and the deployment of AI/ML workloads on Azure. 

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

  • Thrive in a 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 cloud and 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. 

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 across the Microsoft AI team and Azure infrastructure teams, including end-to-end planning, timelines, milestones, performance metrics, and resource needs. 

  • Collaborate with product teams, engineers, researchers, and partners to drive the AI teams interests, 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 Azure 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 cloud infrastructure, data engineering, pre-training, post-training, and product feedback. 

  • Advance the AI frontier responsibly. 



Qualifications

Required Qualifications 

  • STEM bachelor’s degree AND 6+ years’ experience in technical program management, cloud infrastructure engineering, AI/ML, 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 technical program management, cloud 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.

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Member of Technical Staff, Reinforcement Learning Systems – MAI Superintelligence Team Member of Technical Staff, Reinforcement Learning Systems – MAI Superintelligence Team

Location
New York, United States
Job Number
200009263-en-3
City
New York
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

Microsoft AI is looking for a Member of Technical Staff – Reinforcement Learning Systems to help build the world’s most advanced reinforcement learning systems. We are responsible for designing, developing, and operating the large-scale reinforcement learning systems that power several use cases across the Superintelligence team – from training trustworthy and capable agents and powerful reasoning models to helpful and conversational assistants.  

We are looking for individuals who can contribute to cutting-edge research and help bridge the gap between cutting-edge research and robust, production-grade distributed systems. The ideal candidate has both distributed systems expertise and a scientific mindset and will be able to build complex and scalable systems from the ground up, identify and resolve performance bottlenecks, debug complex, cross-system issues with extremely high attention to detail, and contribute to solving scientific and research challenges. Specifically, they should: 

  • Excel in programming (especially parallel/concurrent and distributed), software engineering, and system design 

  • Have experience in large-scale systems, preferably having built some components from scratch.  

  • Thrive in a highly collaborative, fast-paced environment  

  • Have a high degree of craftsmanship and pay close attention to details  

  • Effectively manage multiple responsibilities and can adjust to shifting priorities 

A background in machine learning is preferred but not required. In this case, candidates must demonstrate they have an ability to quickly learn the subject, and backgrounds in mathematics, competitive programming, and related domains are a plus. 

Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.  

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 and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.  

  • Benchmark GB200 and AMD MIxxx GPU clusters.  

  • Gather data and insights to develop the pretraining compute roadmap.  

  • Care deeply about conversational AI and its deployment.  

  • Actively contribute to the development of AI models that are powering our innovative products.  

  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.  

  • Enjoy working in a fast-paced, design-driven, product development cycle.  

  • Embody our Culture and Values



Qualifications
Required Minimum Qualifications
  • Bachelor’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 equivalent experience.
Additional Preferred Qualifications
  • Master’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 Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Experience with generative AI.
  • Experience with distributed computing.  
  • Experience in leading technical projects and supporting architectural decisions with data.   


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

Software Engineering 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.

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Member of Technical Staff – Machine Learning (AI Team) Member of Technical Staff – Machine Learning (AI Team)

Location
New York, United States
Job Number
200013121-en-3
City
New York
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

As a Member of Technical Staff – Machine Learning, 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 create SOTA foundation models and 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


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
  • Own and pursue a research agenda to improve model capability and performance for agentive application.
  • Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.
  • Build robust evaluations for tracking modeling improvements.
  • Design, implement, test, and debug code across our research stack.


Qualifications

Required Qualification 

  • Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience. 

Preferred Qualification 

  • Master’s degree  in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience .
  • Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field and experience in  (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).



Software Engineering IC3 – The typical base pay range for this role across the U.S. is USD $100,600 – $199,000 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 $131,400 – $215,400 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.

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Member of Technical Staff – Machine Learning (AI Team) Member of Technical Staff – Machine Learning (AI Team)

Location
New York, United States
Job Number
200013126-en-3
City
New York
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

As a Member of Technical Staff – Machine Learning, 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 create SOTA foundation models and 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


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
  • Own and pursue a research agenda to improve model capability and performance for agentive application.
  • Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.
  • Build robust evaluations for tracking modeling improvements.
  • Design, implement, test, and debug code across our research stack.


Qualifications

Required Qualifications:

  • 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. 

Additional 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 8+ 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).
  • Experience prompting, evaluating, and working with large language models.
  • Experience writing production-quality Python code. 

 



Software Engineering 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.

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Member of Technical Staff, AI Safety Post-Training – MAI Super Intelligence Team Member of Technical Staff, AI Safety Post-Training – MAI Super Intelligence Team

Location
New York, United States
Job Number
200012043-en-3
City
New York
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview
As a Member of Technical Staff, AI Safety Post-Training, you will work to develop and implement cutting-edge safety methodologies for post-training large language models with agentic and reasoning capabilities that are served to millions of users through Copilot every day. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organizational values. You will be responsible for designing novel safety evaluation frameworks, curating high-quality data for robust evaluations and training, prototyping new safety capabilities, and developing safety-focused fine-tuning algorithms. We’re looking for outstanding individuals with deep expertise in AI safety who can translate research insights into practical solutions while being a strong communicator and collaborative teammate. The ideal candidate takes the initiative in exploring new safety methodologies and enjoys building world-class, trustworthy AI experiences in a fast-paced applied research environment. 
 
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
  • Leverage expertise in AI safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques, constitutional AI approaches, RLHF, and robustness improvements for large language models. 
  • Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes. 
  • Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems. 
  • Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters.
  • Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users. 
  • Embody our culture and values. 


Qualifications
Required Qualifications
  • Bachelor’s Degree in Computer Science, 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
  • 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 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 equivalent experience.  
  • Experience prompting and working with large language models.   
  • Experience writing production-quality Python code.  
  • Demonstrated interest in Responsible AI.   


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.

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Member of Technical Staff – Multimodal Safety – MAI Super Intelligence Team Member of Technical Staff – Multimodal Safety – MAI Super Intelligence Team

Location
New York, United States
Job Number
200016562-en-3
City
New York
Team
Microsoft Superintelligence
Country
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Discipline
Software Engineering
Overview

As a Member of Technical Staff, Multimodal Safety, you will work to develop and implement cutting-edge safety methodologies for post-training multimodal large language models to be served to millions of users through Copilot every day. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organizational values. You will be responsible for designing novel safety evaluation frameworks, curating high-quality data for robust evaluations and training, prototyping new safety capabilities, and developing safety-focused fine-tuning algorithms. We’re looking for outstanding individuals with deep expertise in multimodal AI safety who can translate research insights into practical solutions while being a strong communicator and collaborative teammate. The ideal candidate takes the initiative in exploring new safety methodologies and enjoys building world-class, trustworthy AI experiences in a fast-paced applied research environment.  

  

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
  • Leverage expertise in multimodal safety to uncover potential risks and develop novel mitigation strategies, including alignment techniques and robustness improvements for multimodal large language models.  The ideal candidate has experience with diffusion models and image, video, or audio generation.
 
  • Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.  
 
  • Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety pipelines and intervention systems.  
 
  • Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on multimodal safety matters.
 
  • Track advances in multimodal safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.  
 
  • Embody our culture and values.


Qualifications
Required Qualifications
  • Bachelor’s Degree in Computer Science, 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
  • 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 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 equivalent experience.  
  • Proven expertise in multimodal LLM safety  with experience in diffusion models and generative image/video/audio.
  • Track record building evaluation frameworks, automated red‑teaming, and reusable guardrail systems for safety at scale.
  • Experience in safety pipelines and user‑validated safety decisions across 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.

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Member of Technical Staff – Data Scientist Member of Technical Staff – Data Scientist

Location
New York, United States
Job Number
200018372-en-3
City
New York
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

We’re looking for data scientists to help build the next generation of post-training methods for frontier models at Microsoft AI. You’ll join a small, high-impact team working across all stages of post-training, with a focus on evaluation design, high-quality training data, and scalable data pipelines for state-of-the-art foundation models. 

In this role, you’ll help turn raw model capability into reliable, aligned, and measurable performance improvements, directly shaping how frontier models behave in real-world deployments. 

 

About the Role: 

 

Microsoft AI is building the next generation of frontier models that power Copilot and other large-scale AI experiences. The Post-Training team is responsible for transforming powerful pretrained models into robust, aligned, and high-performing systems used by millions of people worldwide. 

Our work focuses on improving general quality, instruction following, coding and math ability, tool use, agentic behaviors, personality, and other critical model capabilities. We operate across the full post-training lifecycle — from data generation and curation, to evaluation and diagnostics, to reward modeling and reinforcement learning. 

We are a small, highly autonomous team that works closely with pre-training, product, and engineering partners to rapidly iterate on ideas, run large-scale experiments, and safely advance model capabilities. Each team member owns meaningful parts of the post-training pipeline and has direct access to the compute, data, and decision-making needed to move quickly from insight to production. 

 

Microsoft Superintelligence Team 


 
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
  • Design evaluations of advanced model capabilities and use them to drive rapid, high-signal iteration loops 

  • Work with vendors to produce high quality evaluation and training data 

  • Build data pipelines to produce high quality evaluation and training data 

  • Build data flywheels to hill-climb on model weaknesses, using data from various surfaces where our models are deployed 

  • Ensure optimal quality, quantity and coverage of data across our post-training stages 

  • Run post-training experiments and ablations to produce models that climb our evals 

  • Embody our culture and values. 

 

We’re Looking For People Who: 

 

  • Have deep experience with LLMs, either training them or applying them in production 

  • Have developed production-scale data pipelines for synthesizing, curating, or processing large quantities of data 

  • Can design, run, and interpret large-scale ML experiments with careful statistical and empirical reasoning. 

  • Possess strong generalist engineering and mathematical skills. 

  • Have clear written and verbal communication, and the ability to collaborate effectively with researchers, engineers and other disciplines. 

  • Bonus skills: Demonstrated SOTA results in any area of large-scale training, inference, or evaluation. 



Qualifications
Required skills
 
Hands‑on experience with large language models, including training or applying them in production (not just prompting)
Designing and running post‑training experiments (evals, ablations, preference tuning / RLHF‑style methods)
Building and owning scalable data pipelines for training and evaluation data
Strong Python skills for ML experimentation, data processing, and analysis
Solid statistical, experimental, and general engineering fundamentals


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.

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Member of Technical Staff – Software Engineer (SuperIntelligence team) Member of Technical Staff – Software Engineer (SuperIntelligence team)

Location
New York, United States
Job Number
200020320-en-3
City
New York
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

Help build the infrastructure that powers training, evaluation, and data platforms for reliable deployment of world-class foundational AI models. We are on a mission to create state-of-the-art AI models and deploy them across Microsoft products at an unprecedented scale.

You’ll collaborate across engineering and research to design, evolve, and operate core research infrastructure, so that product teams can train faster, evaluate more rigorously, and ship with confidence. You’ll work closely with the teams that transform pre-trained models into the consumer Copilot experience.

Microsoft’s mission is to empower every person and every organization to achieve more, and we build on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive.

 

Microsoft Superintelligence Team

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
  • Design and build core platform services for scalable training and evaluation, including cluster orchestration, job scheduling, data and compute pipelines, and artifact management.
  • Standardize containerized workflows by maintaining Docker images, CI/CD, and runtime configurations; advocate for best practices in security, reproducibility, and cost efficiency.
  • Implement end-to-end observability and operations through metrics, tracing, logging, dashboard development, monitoring, and automated alerts for model training and platform health (using Prometheus, Grafana, OpenTelemetry).
  • Architect and operate services on Azure cloud platforms, managing infrastructure-as-code (Terraform/Helm), secrets, networking, and storage.
  • Enhance developer experience by creating tools, CLIs, and portals that simplify job submission, metrics analysis, and experiment management for generalist software engineering and research teams.
  • Enforce security and compliance policies for data access, container hardening, and supply-chain integrity, and partner with security and privacy teams to maintain robust practices in multi-tenant environments and secret management.
  • Collaborate cross-functionally with data, model, and product teams to align infrastructure roadmaps with training needs, evaluation protocols, and Copilot product goals.


Qualifications

Required qualifications 

  • Strong software engineering fundamentals building large‑scale, production systems
  • Hands‑on ownership of production infrastructure (not just usage)
  • Python used as a primary language in production systems
  • Kubernetes + containers: deploying, operating, and supporting production workloads
  • Experience building or operating platform services (job orchestration, data/compute pipelines, shared infra)
  • Production operations ownership: monitoring, logging, alerting, and incident response
  • Experience on cloud platforms (Azure preferred; AWS/GCP acceptable)
  • Comfortable with distributed systems, networking, and storage

Desired qualifications 

  • Built or owned ML / AI platform infrastructure (training, evaluation, experiment pipelines)
  • Experience with GPU clusters, HPC, or large batch compute systems
  • Infrastructure‑as‑code experience (Terraform, Helm)
  • Observability tooling (Prometheus, Grafana, OpenTelemetry)
  • Internal developer tooling experience (CLIs, portals, job submission tools)
  • Data pipeline orchestration (Airflow, Argo, streaming systems)
  • Container security, CI/CD, and reproducible deployments
  • Experience supporting AI research or model development 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.

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