Redmond, United States

Principal Data Scientist Principal Data Scientist

Location
Redmond, United States
Job Number
200027640-en-1
City
Redmond
Team
Monetization
Country
United States
Discipline
Data Science
Overview

We are inviting you to join the Microsoft Advertising Data Science Team.  Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers.

We are looking for high-energy, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.

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, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.



Responsibilities
  • Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.
  • Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.
  • Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
  • Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
  • Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
  • Make independent decisions for the team and handle difficult tradeoffs   
  • Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.


Qualifications

Required Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

Preferred Qualifications:

  • 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++.
  • Organizational, analytical, data science skills. 
  • Problem solver: ability to solve problems that the world has not solved before. 
  • Interpersonal skills: cross-group and cross-culture collaboration. 
  • Experience with real world system building and data collection, including design, coding and evaluation.  
  • Excellent communication to be able to communicate insights to senior leaders.
  • Experience with driving large collaboration across multiple teams. 
  • Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.

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 thereafter.

#MicrosoftAI #MAI #DataScience #DataScientist #MicrosoftAds #Experimentation



Data Science 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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Mountain View, United States

Principal Data Scientist Principal Data Scientist

Location
Mountain View, United States
Job Number
200027640-en-2
City
Mountain View
Team
Monetization
Country
United States
Discipline
Data Science
Overview

We are inviting you to join the Microsoft Advertising Data Science Team.  Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers.

We are looking for high-energy, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.

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, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.



Responsibilities
  • Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.
  • Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.
  • Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
  • Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
  • Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
  • Make independent decisions for the team and handle difficult tradeoffs   
  • Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.


Qualifications

Required Qualifications:

  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

Preferred Qualifications:

  • 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++.
  • Organizational, analytical, data science skills. 
  • Problem solver: ability to solve problems that the world has not solved before. 
  • Interpersonal skills: cross-group and cross-culture collaboration. 
  • Experience with real world system building and data collection, including design, coding and evaluation.  
  • Excellent communication to be able to communicate insights to senior leaders.
  • Experience with driving large collaboration across multiple teams. 
  • Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.

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 thereafter.

#MicrosoftAI #MAI #DataScience #DataScientist #MicrosoftAds #Experimentation



Data Science 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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Mountain View, United States

Senior Data Privacy & Governance Engineer Senior Data Privacy & Governance Engineer

Location
Mountain View, United States
Job Number
200017871-en-1
City
Mountain View
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview

Microsoft AI (MAI) is seeking an experienced Senior Data Privacy & Governance Engineer to help build mission applications and platform components for our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in distributed systems and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. This role is pivotal in ensuring data integrity, regulatory compliance, and secure data usage across the organization.

Our newly formed organization, MAI, 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. 

 By applying to this this U.S. New York, New York, Redmond, WA OR Mountain View, CA position, you are required to be local to the New York, Seattle OR San Francisco area in office 3 days a week.

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, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Microsoft AI (MAI) is seeking an experienced Principal Data Privacy & Governance Engineer to help build mission applications and platform components for our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in distributed systems and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. This role is pivotal in ensuring data integrity, regulatory compliance, and secure data usage across the organization.

Our newly formed organization, MAI, 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’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, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.



Responsibilities
  • Build tools in the areas of data security, privacy and governance products in distributed data, cloud platform environments.
  • Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation automated data governance systems.
  • Ship high-quality, well-tested, secure, and maintainable code.
  • 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 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:

  • 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.
  • Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
  • Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
  • Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
  • 4+ 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.
  • 3+ years experience in collaborating with engineering, product, legal, and compliance teams to embed privacy-by-design principles and build automated scalable governance mechanisms into our data infrastructure.
  • 3+ years experience in building data lineage tracking, proactive alerting mechanisms monitoring and enforce compliance with internal standards and external regulations.


#MicrosoftAI 



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.

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Senior Data Privacy & Governance Engineer Senior Data Privacy & Governance Engineer

Location
Redmond, United States
Job Number
200017871-en-2
City
Redmond
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview

Microsoft AI (MAI) is seeking an experienced Senior Data Privacy & Governance Engineer to help build mission applications and platform components for our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in distributed systems and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. This role is pivotal in ensuring data integrity, regulatory compliance, and secure data usage across the organization.

Our newly formed organization, MAI, 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. 

 By applying to this this U.S. New York, New York, Redmond, WA OR Mountain View, CA position, you are required to be local to the New York, Seattle OR San Francisco area in office 3 days a week.

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, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Microsoft AI (MAI) is seeking an experienced Principal Data Privacy & Governance Engineer to help build mission applications and platform components for our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in distributed systems and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. This role is pivotal in ensuring data integrity, regulatory compliance, and secure data usage across the organization.

Our newly formed organization, MAI, 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’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, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.



Responsibilities
  • Build tools in the areas of data security, privacy and governance products in distributed data, cloud platform environments.
  • Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation automated data governance systems.
  • Ship high-quality, well-tested, secure, and maintainable code.
  • 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 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:

  • 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.
  • Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
  • Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
  • Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
  • 4+ 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.
  • 3+ years experience in collaborating with engineering, product, legal, and compliance teams to embed privacy-by-design principles and build automated scalable governance mechanisms into our data infrastructure.
  • 3+ years experience in building data lineage tracking, proactive alerting mechanisms monitoring and enforce compliance with internal standards and external regulations.


#MicrosoftAI 



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.

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Product Manager II Product Manager II

Location
Redmond, United States
Job Number
200034235-en-1
City
Redmond
Team
Search
Country
United States
Discipline
Product Management
Overview

As a Product Manager II on the Bing Places Data team, you will own data product features supporting Microsoft’s geospatial services, including Bing Maps, Local Search, and Copilot. Our team’s immediate customers are the partner teams building experiences across a range of Microsoft and MAI products. This position requires solid technical understanding and product management skills to create clarity and the features and capabilities we need to meet business and customer needs. As a Product Manager II, you will:

  • Work with partner teams to understand their requirements, informing your product decisions
  • Translate complex technical and AI concepts, to understand gaps and opportunities to improve our data products for search and copilot experiences
  • Leverage AI to identify unmet or unknown customer needs, and collaborate with others to perform competitive analysis
  • Apply data-driven insights to assess product and feature performance, identify risks, and implement improvements
  • Influence data product features, including data models, pipelines, and quality systems, making tradeoffs that balance scalability, reliability, and partner needs

This role requires good communication skills, curiosity and learning in a rapidly evolving product space, and the ability to reduce ambiguity within your area.

At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

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



Responsibilities
  • Product Opportunity Identification: Identify gaps in our product and propose solutions for unmet customer needs.
  • Defining product features, requirements, and success measures to meet our partner and customer’s data needs.
  • Data-Driven Analysis and Executions: Use data analysis to identify needs of our customers and gaps in our data products.
  • Evangelize supported features with stakeholders to increase parter team usage and adoption our products.
  • Prioritize features, with guidance, seeing input regarding prioritize, and providing insights and recommendations on alignment with the organizational objectives.
  • Communicate options and tradeoffs to different stakeholders to provide accurate information for decision making throughout the team.


Qualifications

Required Qualifications:

  • Bachelor’s Degree AND 2+ years experience in product/service/program management or software development
    • 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 thereafter.


Preferred Qualifications:

  • Bachelor’s Degree AND 5+ years experience in product/service/program management or software development
    • OR equivalent experience.
  • 2+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
  • Experience creating geospatial or mapping products.
  • Experience working with large location-enabled datasets.
  • Experience creating web search features.
  • Experience working with AI technologies, Retrieval Augment Generation systems, AI agents, or workflow automation. 


#MicrosoftAI 



Product Management 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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Software Engineer – Full Stack Software Engineer – Full Stack

Location
Redmond, United States
Job Number
200032364-en-1
City
Redmond
Team
Search
Country
United States
Discipline
Software Engineering
Overview

Help millions of people find the right local businesses and services at the moments that matter most. At Bing Places, we build the systems that power local discovery across Microsoft experiences. You’ll work at the intersection of engineering, data, and product to improve the quality, relevance, and trustworthiness of local search at global scale.

In this role, you’ll build and operate scalable systems that power accurate and trustworthy local search experiences across Microsoft. As a Software Engineer II on Bing Places, you’ll collaborate with engineers, data scientists, and product partners to integrate diverse data sources, improve ranking quality, and ship features used by millions of customers. The role offers solid growth opportunities as you deepen your expertise in distributed systems, geospatial data.

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, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction. 



Responsibilities
  • Contribute to architecture, engineering standards, and development practices across the team. 
  • Work with appropriate stakeholders to determine user requirements for a set of features.
  • Contribute to the identification of dependencies, and the development of design documents for a product area with little oversight.
  • Create and implement code for a product, service, or feature, reusing code as applicable.
  • Contribute to efforts to break down larger work items into smaller work items and provides estimation.
  • Act as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gain approval to restore system/product/service for simple problems.
  • Remain current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.


Qualifications

Required Qualifications:

  • 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.

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 thereafter.


Preferred Qualifications:

  • Master’s Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • 1+ with data engineering leveraging tools such as Apache Hadoop or Spark or equivalent experience.
  • Experience with Azure Cloud, Azure Data Factory (ADF) 
  • 3+ years of experience in solving, design, coding, and debugging skills.
  • Demonstrated experience with products that involve high availability/reliability and low latency systems.

#MicrosoftAI 



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 – Business Operations Member of Technical Staff – Business Operations

Location
Mountain View, United States
Job Number
200032272-en-1
City
Mountain View
Team
Copilot
Country
United States
Discipline
Business Program Management
Overview

This role exists to increase operating rigor, speed, and organizational health across Copilot Engineering. You will run the operating system that keeps priorities aligned, decisions documented, and execution predictable—especially during periods of change. 

Reporting to the Chief of Staff for Copilot Engineering, you are a trusted operating partner to the Copilot Engineering leadership team—connecting work across HR, recruiting, comms, events, and functional leaders to drive re-orgs, performance management rhythms, cultural improvements and team communications. 



Responsibilities

Core Responsibilities  

  • Strategically manage re-orgs and team design: build options, model scenarios, draft org charts, define role/level principles, coordinate approvals, and land changes with clear comms and minimal disruption. 

  • Establish and continuously improve team culture: define operating principles, create rituals (all-hands, retros, onboarding), and partner with leaders to reinforce expectations through recognition and feedback mechanisms. 

  • Enable performance management: build and run annual and quarterly performance rhythm (goal setting, calibration, talent reviews), track actions, and ensure leaders have the data and narratives needed to make timely decisions. 

  • Key contributor to the org’s operating cadence and logistics: help maintain the annual operations calendar, recommend leadership and team meeting schedules, manage agendas/notes/decisions, and ensure follow-through on action items. 

  • Primary liaison for coordination of events and offsites in partnership with the Events team: define objectives and audience, manage timelines and content inputs, align budgets, and ensure excellent attendee experience and post-event follow-up. 

  • Own leadership communications: draft and manage distribution of org updates, quarterly narratives, and decision memos; maintain source-of-truth channels for priorities, org changes, and FAQs. 

  • Build scalable people programs: improve onboarding, internal mobility and succession planning readiness, and manager enablement resources (toolkits, templates, timelines) in partnership with HR. 

  • Continuously improve operational processes and tooling: simplify how the team plans, documents decisions, and reports status; create lightweight templates and automation where possible to reduce overhead. 

 Scope & Operating Model  

  • This role typically partners directly with the org leader(s) and leadership team, operating with high autonomy and discretion. Scope often expands with org size and complexity, and may include ownership of multiple programs or sub-teams over time. 

  • Operate as the “air traffic controller” for the org: connect dots across workstreams, anticipate risks and dependencies, surface trade-offs, and keep leadership aligned through crisp readouts and decision support. 

  • Track org health and engineering/operational metrics: partner with existing owners to maintain scorecards and dashboards (e.g., headcount, attrition, hiring funnel, engagement signals, delivery predictability, incident/quality trends as applicable), identify patterns, and translate insights into recommendations and leadership actions that feed performance management. 

  • Be the primary liaison to HR (and close partner to recruiting and finance): manage HR cases and escalations, support talent processes, ensure policy compliance, and drive clear communication across leaders and teams. 

 Key Challenges & Expectations 

  • Immediate priorities often include landing org design changes smoothly, establishing a predictable operating cadence, and creating clear mechanisms for goals, feedback, and accountability across the leadership team. 

  • The program manager must be able to drive change management with empathy and firmness—balancing discretion and trust with the ability to push for closure, escalate when needed, and unblock leaders at speed. 

  • Internal customers include the org leader(s), direct reports, and key partners (HR, recruiting, finance, comms, events). Success requires crisp communication, strong judgment, and the ability to translate ambiguity into simple plans and artifacts. 

 



Qualifications

Required Qualifications:

  • Bachelor’s Degree in Business, Operations, Finance, or related field AND 8+ years experience in program management, process management, or process improvement OR equivalent experience.

Preferred Qualifications: 

  • Master’s Degree in Business, Operations, Finance, or related field AND 12+ years experience in program management, process management, or process improvement OR Bachelor’s Degree in Business, Operations, Finance, or related field AND 15+ years experience in program management, process management, or process improvement OR equivalent experience. 
  • Demonstrated ability to lead complex change management efforts (re-orgs, operating model changes, new planning/performance rhythms) with high trust and confidentiality. 

  • Strong analytical skills and comfort using scorecards and dashboards to synthesize metrics into insights and recommendations (without needing to be the metric owner/creator). 

  • Exceptional written and verbal communication; able to create crisp executive-ready artifacts (memos, narratives, readouts, comms plans). 

  • Proven stakeholder management across HR, recruiting, and cross-functional partners; able to influence without authority. 

  • Senior level operating maturity: consistently high judgment, bias for action, and ability to operate through ambiguity with appropriate rigor, confidentiality, and attention to detail. 

#MAI



Business Program Management IC6 – The typical base pay range for this role across the U.S. is USD $130,900 – $277,200 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 $165,600 – $303,600 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 – Business Operations Member of Technical Staff – Business Operations

Location
Redmond, United States
Job Number
200032272-en-2
City
Redmond
Team
Copilot
Country
United States
Discipline
Business Program Management
Overview

This role exists to increase operating rigor, speed, and organizational health across Copilot Engineering. You will run the operating system that keeps priorities aligned, decisions documented, and execution predictable—especially during periods of change. 

Reporting to the Chief of Staff for Copilot Engineering, you are a trusted operating partner to the Copilot Engineering leadership team—connecting work across HR, recruiting, comms, events, and functional leaders to drive re-orgs, performance management rhythms, cultural improvements and team communications. 



Responsibilities

Core Responsibilities  

  • Strategically manage re-orgs and team design: build options, model scenarios, draft org charts, define role/level principles, coordinate approvals, and land changes with clear comms and minimal disruption. 

  • Establish and continuously improve team culture: define operating principles, create rituals (all-hands, retros, onboarding), and partner with leaders to reinforce expectations through recognition and feedback mechanisms. 

  • Enable performance management: build and run annual and quarterly performance rhythm (goal setting, calibration, talent reviews), track actions, and ensure leaders have the data and narratives needed to make timely decisions. 

  • Key contributor to the org’s operating cadence and logistics: help maintain the annual operations calendar, recommend leadership and team meeting schedules, manage agendas/notes/decisions, and ensure follow-through on action items. 

  • Primary liaison for coordination of events and offsites in partnership with the Events team: define objectives and audience, manage timelines and content inputs, align budgets, and ensure excellent attendee experience and post-event follow-up. 

  • Own leadership communications: draft and manage distribution of org updates, quarterly narratives, and decision memos; maintain source-of-truth channels for priorities, org changes, and FAQs. 

  • Build scalable people programs: improve onboarding, internal mobility and succession planning readiness, and manager enablement resources (toolkits, templates, timelines) in partnership with HR. 

  • Continuously improve operational processes and tooling: simplify how the team plans, documents decisions, and reports status; create lightweight templates and automation where possible to reduce overhead. 

 Scope & Operating Model  

  • This role typically partners directly with the org leader(s) and leadership team, operating with high autonomy and discretion. Scope often expands with org size and complexity, and may include ownership of multiple programs or sub-teams over time. 

  • Operate as the “air traffic controller” for the org: connect dots across workstreams, anticipate risks and dependencies, surface trade-offs, and keep leadership aligned through crisp readouts and decision support. 

  • Track org health and engineering/operational metrics: partner with existing owners to maintain scorecards and dashboards (e.g., headcount, attrition, hiring funnel, engagement signals, delivery predictability, incident/quality trends as applicable), identify patterns, and translate insights into recommendations and leadership actions that feed performance management. 

  • Be the primary liaison to HR (and close partner to recruiting and finance): manage HR cases and escalations, support talent processes, ensure policy compliance, and drive clear communication across leaders and teams. 

 Key Challenges & Expectations 

  • Immediate priorities often include landing org design changes smoothly, establishing a predictable operating cadence, and creating clear mechanisms for goals, feedback, and accountability across the leadership team. 

  • The program manager must be able to drive change management with empathy and firmness—balancing discretion and trust with the ability to push for closure, escalate when needed, and unblock leaders at speed. 

  • Internal customers include the org leader(s), direct reports, and key partners (HR, recruiting, finance, comms, events). Success requires crisp communication, strong judgment, and the ability to translate ambiguity into simple plans and artifacts. 

 



Qualifications

Required Qualifications:

  • Bachelor’s Degree in Business, Operations, Finance, or related field AND 8+ years experience in program management, process management, or process improvement OR equivalent experience.

Preferred Qualifications: 

  • Master’s Degree in Business, Operations, Finance, or related field AND 12+ years experience in program management, process management, or process improvement OR Bachelor’s Degree in Business, Operations, Finance, or related field AND 15+ years experience in program management, process management, or process improvement OR equivalent experience. 
  • Demonstrated ability to lead complex change management efforts (re-orgs, operating model changes, new planning/performance rhythms) with high trust and confidentiality. 

  • Strong analytical skills and comfort using scorecards and dashboards to synthesize metrics into insights and recommendations (without needing to be the metric owner/creator). 

  • Exceptional written and verbal communication; able to create crisp executive-ready artifacts (memos, narratives, readouts, comms plans). 

  • Proven stakeholder management across HR, recruiting, and cross-functional partners; able to influence without authority. 

  • Senior level operating maturity: consistently high judgment, bias for action, and ability to operate through ambiguity with appropriate rigor, confidentiality, and attention to detail. 

#MAI



Business Program Management IC6 – The typical base pay range for this role across the U.S. is USD $130,900 – $277,200 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 $165,600 – $303,600 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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Senior Content Designer Senior Content Designer

Location
Mountain View, United States
Job Number
200034616-en-1
City
Mountain View
Team
Copilot
Country
United States
Discipline
Content Design
Overview

At Microsoft AI, we are inventing an AI Companion for everyone—an AI designed with real personality and emotional intelligence that’s always in your corner. Defined by effortless communication, extraordinary capabilities, and a new level of connection and support, we want Copilot to define the next wave of technology. This is a rare opportunity to be a part of a team crafting something that challenges everything we know about software and consumer products.
We’re a small, friendly, fast-moving team, supporting one another to do the best work of our lives, always looking to break new ground with an unshakeable dedication to the user. We are proud of what we build, how we build it, and that our products define the AI era while earning the trust of our users. We run lean, prioritize quality, meaningful innovation and polish, and always root our decisions in research and evidence. We ship regularly, so your work will have real and immediate impact.


Our Core Values:

  • Quality. We only deliver category-defining products that delight with their ease of use, guaranteed reliability, and beautiful, coherent design.
  • Simplicity. We don’t overcomplicate. Less is more, always.
  • Safety & Security. The highest standards of security, safety and responsibility are non-negotiable across all our business areas.
  • Evaluation. We pay close attention to signals and aren’t afraid to change course when data and our experience tells us to. We are also careful with our metrics, focusing on delivering long-term sustainable value (rather than short-term KPIs).
  • Kindness. Kindness is at the heart of our org and how we conduct ourselves. We care for, and support and respect one another, beginning again and learning every day.

We’re looking for a Senior Content Designer to shape the future of AI-driven experiences through our personal AI companion, Copilot. In this role, you’ll define content design approaches, write prompts and evals, craft user-centric narratives, and drive clarity, accessibility, and inclusivity in the language we use across Copilot surfaces. This will extend beyond classic UI text—this is a unique opportunity to combine UX content design expertise with model design and training, influencing a product that reaches millions of users.

Our design principles:

  • Create Magical Moments
  • Guide the Journey
  • Personality is Pivotal
  • Always be Earning Trust
  • Sweat the Details
  • Be in Service to People

By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week.



Responsibilities
  • Identify user needs and define end-to-end user journeys for AI user experiences in close collaboration with product designers, product managers, data scientists, prompt engineers, and software engineers. Contribute to product strategy by advocating for features or improvements that uplevel UX quality.
  • Write prompts and eval outputs to improve response quality and help ensure user-facing AI-generated product copy aligns with tone of voice and quality standards.
  • Craft clear, user-centered content for AI user experiences. Leverage user research and data to form a strong rationale for content design decisions.
  • Help define and evolve the tone of voice, personality, and product narrative for Copilot across product content and model responses. Create content design standards and frameworks to scale the function and inform our design system.
  • Lead and action on product content audits to drive consistency and alignment with Copilot’s tone of voice.
  • Evaluate and prioritize content design work from across the org, focusing on the highest-impact work.
  • Advocate for inclusive and accessible language across all touchpoints.


Qualifications

Required qualifications:

  • Master’s Degree in Arts, Humanities, Digital Communications, UX Design, Human Computer Interaction, Communications, English, Journalism, or related field AND 2+ years experience working in product or service design
    • OR Bachelor’s Degree in Arts, Humanities, Digital Communications, UX Design, Human Computer Interaction, Communications, English, Journalism, or related field AND 3+ years experience working in product or service design, copywriting, technical writing, writing (e.g. for marketing, advertising, e-commerce), brand design, or brand marketing
    • OR equivalent experience. 


Preferred qualifications:

  • A portfolio or work samples that demonstrate at least 6 years of experience owning content design for world class consumer products from vision through launch.
  • High craft in content design work; must be able to articulate a strategy and translate it into a polished finished product.
  • Experience with (or a strong drive to learn!) prompt engineering and evals.
  • A deep understanding of user-centered design.
  • Ability to own your work in a fast-paced. start-up like environment, manage multiple priorities, and adapt to ever-changing requirements and deadlines.
  • Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
  • Knowledge of accessibility and localization best practices.


Content Design 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.

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Member of Technical Staff, Software Co-Design AI HPC Systems – MAI Superintelligence Team Member of Technical Staff, Software Co-Design AI HPC Systems – MAI Superintelligence Team

Location
Zürich, Switzerland
Job Number
200025095-en-2
City
Zürich
Team
Microsoft Superintelligence
Country
Switzerland
Discipline
Software Engineering
Overview

Our team’s mission is to architect, co-design, and productionize next-generation AI systems at datacenter scale. We operate at the intersection of models, systems software, networking, storage, and AI hardware, optimizing end-to-end performance, efficiency, reliability, and cost. Our work spans today’s frontier AI workloads and directly shapes the next generation of accelerators, system architectures, and large-scale AI platforms. We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures. 

This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale. 

In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate. 

About the Team 

We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact. 



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
  • Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks. 

  • Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements. 

  • Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems. 

  • Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps. 

  • Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations. 

  • Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs. 

  • Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams. 

  • Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization. 



Qualifications

Minimum Qualifications 

  • Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent practical experience. 

  • 10+ years of experience (or equivalent depth) working across systems software, hardware architecture, or AI infrastructure, with demonstrated impact at scale. 

  • Strong background in one or more of the following areas:

    • AI accelerator or GPU architectures 

    • Distributed systems and large-scale AI training/inference 

    • High-performance computing (HPC) and collective communications 

    • ML systems, runtimes, or compilers 

    • Performance modeling, benchmarking, and systems analysis 

    • Hardware–software co-design for AI workloads 

  • Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development. 

  • Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders. 

 

Preferred Qualifications 

  • Experience designing or operating large-scale AI clusters for training or inference. 

  • Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications. 

  • Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand). 

  • Background in performance modeling and capacity planning for future hardware generations. 

  • Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews. 

  • Publications, patents, or open-source contributions in systems, architecture, or ML systems are a plus. 


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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English (United States)
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