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Bengaluru, India

Product Management IC5 Product Management IC5

Location
Bengaluru, India
Job Number
200028815-en-2
City
Bengaluru
Team
Search
Country
India
Discipline
Product Management
Overview

As a Principal Product Manager on the MAI Suggestions team, within the STCI organization at Microsoft AI (MAI), you will lead a significant product area within MAI Suggestions, initially focused on Experiences and Growth. This role is designed for an experienced individual contributor who operates with high autonomy, thrives in ambiguous problem spaces, and drives meaningful customer and business impact through strong product judgment and cross-team leadership. 

While the initial charter is centered on user experiences and growth, the role is designed to evolve across product areas within the Suggestions team. You are expected to build deep product fundamentals, reusable frameworks, and domain understanding that enable you to take on different problem spaces over time (e.g., quality, personalization, platform, or new experiences), based on business priorities. 

You will work closely with engineering, design, data science, and partner teams to define product direction, lead complex initiatives, and deliver step-function improvements in engagement, adoption, and task success across MAI surfaces such as Search, Browsing, and Copilot experiences. 

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. 



Responsibilities
  • Own product direction and outcomes for a major area within MAI Suggestions, initially focused on Experiences and Growth—from problem framing through execution to measurable customer and business impact.
  • Set and sustain a high‑velocity product operating rhythm by creating clarity, generating energy, and reducing friction—accelerating decision‑making and setting a high bar for pace, ownership, and execution across cross‑functional teams.
  • Enable rapid shipping, learning, and iteration by leveraging AI‑powered tooling and tight cross‑functional collaboration to compress delivery cycles, increase experimentation throughput, and deliver impact ahead of the curve.
  • Identify and lead high‑impact opportunities to improve user engagement, activation, retention, and task success using data, experimentation, and deep customer insights.
  • Frame ambiguous problem spaces effectively, define clear success metrics, and translate insights into well‑prioritized product bets and roadmaps.
  • Lead cross‑team and cross‑org initiatives, influencing partner teams to deliver cohesive, high‑quality experiences across MAI surfaces.
  • Partner closely with engineering and data science to make informed trade‑offs across UX quality, velocity, scalability, and model performance.
  • Define and evolve metrics, evaluation frameworks, and experiments to assess experience quality, growth impact, and long‑term value.
  • Act as a product thought leader, shaping principles, best practices, and reusable approaches that scale beyond a single problem area.
  • Communicate product strategy, trade‑offs, and outcomes to senior stakeholders, driving alignment and informed decision‑making.
  • Mentor and raise the bar for other PMs through design reviews, strategic guidance, and shared ownership of product excellence. 


Qualifications

Required Qualifications:

  • Bachelor’s Degree AND 8+ years experience in product/service/program management or software development.
    • OR equivalent experience.
  • Proven track record of leading large-scope initiatives with measurable customer and business impact.
  • Strong product judgment and strategic thinking, with the ability to connect customer needs to product direction and business outcomes.
  • Deep customer empathy and UX intuition, especially in consumer-scale or AI-powered experiences.
  • Strong analytical skills and comfort using data, experimentation, and evaluation frameworks to drive decisions.
  • Experience influencing without authority, aligning senior stakeholders across teams.
  • Excellent communication and collaboration skills in fast-paced, ambiguous environments.
  • Experience mentoring other product managers is a plus. 

Preferred Qualifications:

  • Bachelor’s Degree AND 12+ years experience in product/service/program management or software development.
    • OR equivalent experience.
  • 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework).
  • 6+ 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).
  • 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).

 

#MicrosoftAI


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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Location
Beijing, China
Job Number
200027570-en-1
City
Beijing
Team
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Country
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Discipline
Applied Sciences
Overview

Are you passionate about building cutting-edge AI technologies at Microsoft? Do you get excited about designing systems that can search through hundreds of billions of documents in just milliseconds? If you have the skills and ambition to work alongside some of the brightest minds in the industry on projects that will make a lasting impact, STCA Bing Search Fundamental Team is the place for you.

About the Bing Search Fundamental Team

The Bing Search Fundamental Team is at the heart of Bing’s search engine. We manage tens of thousands of machines and deliver backend search services for document selection and ranking at massive scale. Our technology stack spans some of the most exciting areas in computing, including:

  • Resource Scheduling
  • Distributed Object Storage Systems
  • Index Selection and Ranking
  • AI-powered Search and NLP

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
  • Expertise in Deep Learning, especially Natural Language Processing (NLP) that power Bing search.
  • Influence architecture and design decisions across teams, driving best practices and common patterns.
  • Collaborate effectively with multiple teams, demonstrating solid partnership and communication skills.


Qualifications

Required Qualifications:

Bachelor’s Degree in Statistics, Computer Science, or related field AND 5+ years related experience (e.g., statistics predictive analytics, research)

 OR Master’s Degree in Statistics, Computer Science, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

 OR Doctorate in Statistics, Computer Science, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research)

  OR equivalent experience.Expertise in deep learning, machine learning, NLP , or related areas.Ability to think creatively and deliver innovative solutions to complex problems.

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:Expertise in Deep Learning, especially Natural Language Processing (NLP).Experience in search technologies, information retrieval.

#MicrosoftAI 


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 Software Engineer Senior Software Engineer

Location
Redmond, United States
Job Number
200029529-en-1
City
Redmond
Team
Monetization
Country
United States
Discipline
Software Engineering
Overview
Microsoft Advertising empowers the world’s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking a highly skilled and experienced Senior Software Engineer to join our dynamic team. The ideal candidate will have a solid background in data engineering and data analytics, with a proven track record of designing and implementing scalable data solutions. As a Senior Software Engineer, you will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions. 
 
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
  • Collaborate with cross functional teams to understand data requirements and deliver high quality data solutions. 
  • Develop and optimize data models to support data analytics. 
  • Utilize advanced analytics techniques to extract insights from large datasets and drive data driven decision making. 
  • Implement data validation frameworks and monitoring systems to detect and resolve data quality issues. 
  • Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery 
  • Work with a security-first mindset, focusing on system scalability and maintainability. 
  • Coach and mentor peers and emerging team members while advocating for best practices.


Qualifications

Required Qualifications:

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

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.


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.
  • 3+ years experience in business analytics, data science, software development, data modeling or data engineering work
  • Solid experience with data processing frameworks such as Apache Spark, Hadoop. 
  • Expertise in SQL and experience with RDBMS, Key Value stores. 
  • Familiarity with cloud platforms and data services. 
  • Excellent problem solving skills and the ability to work independently and as part of a team. 
  • Solid communication skills.
  • Familiarity with Azure. 
  • Experience with machine learning and data science tools and frameworks. 
  • Knowledge of data visualization tools (e.g., Tableau, Power BI). 
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).


#MicrosoftAI 

 

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:
 
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.


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 Software Engineer Senior Software Engineer

Location
New York, United States
Job Number
200029529-en-2
City
New York
Team
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Country
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Discipline
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Overview
Microsoft Advertising empowers the world’s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking a highly skilled and experienced Senior Software Engineer to join our dynamic team. The ideal candidate will have a solid background in data engineering and data analytics, with a proven track record of designing and implementing scalable data solutions. As a Senior Software Engineer, you will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions. 
 
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
  • Collaborate with cross functional teams to understand data requirements and deliver high quality data solutions. 
  • Develop and optimize data models to support data analytics. 
  • Utilize advanced analytics techniques to extract insights from large datasets and drive data driven decision making. 
  • Implement data validation frameworks and monitoring systems to detect and resolve data quality issues. 
  • Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery 
  • Work with a security-first mindset, focusing on system scalability and maintainability. 
  • Coach and mentor peers and emerging team members while advocating for best practices.


Qualifications

Required Qualifications:

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

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.


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.
  • 3+ years experience in business analytics, data science, software development, data modeling or data engineering work
  • Solid experience with data processing frameworks such as Apache Spark, Hadoop. 
  • Expertise in SQL and experience with RDBMS, Key Value stores. 
  • Familiarity with cloud platforms and data services. 
  • Excellent problem solving skills and the ability to work independently and as part of a team. 
  • Solid communication skills.
  • Familiarity with Azure. 
  • Experience with machine learning and data science tools and frameworks. 
  • Knowledge of data visualization tools (e.g., Tableau, Power BI). 
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).


#MicrosoftAI 

 

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:
 
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.


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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Job Number
200029529-en-3
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Overview
Microsoft Advertising empowers the world’s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking a highly skilled and experienced Senior Software Engineer to join our dynamic team. The ideal candidate will have a solid background in data engineering and data analytics, with a proven track record of designing and implementing scalable data solutions. As a Senior Software Engineer, you will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions. 
 
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
  • Collaborate with cross functional teams to understand data requirements and deliver high quality data solutions. 
  • Develop and optimize data models to support data analytics. 
  • Utilize advanced analytics techniques to extract insights from large datasets and drive data driven decision making. 
  • Implement data validation frameworks and monitoring systems to detect and resolve data quality issues. 
  • Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery 
  • Work with a security-first mindset, focusing on system scalability and maintainability. 
  • Coach and mentor peers and emerging team members while advocating for best practices.


Qualifications

Required Qualifications:

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

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.


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.
  • 3+ years experience in business analytics, data science, software development, data modeling or data engineering work
  • Solid experience with data processing frameworks such as Apache Spark, Hadoop. 
  • Expertise in SQL and experience with RDBMS, Key Value stores. 
  • Familiarity with cloud platforms and data services. 
  • Excellent problem solving skills and the ability to work independently and as part of a team. 
  • Solid communication skills.
  • Familiarity with Azure. 
  • Experience with machine learning and data science tools and frameworks. 
  • Knowledge of data visualization tools (e.g., Tableau, Power BI). 
  • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).


#MicrosoftAI 

 

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:
 
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.


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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Member of Technical Staff, Pre-Training Infrastructure – MAI Superintelligence Team Member of Technical Staff, Pre-Training Infrastructure – MAI Superintelligence Team

Location
Mountain View, United States
Job Number
200009146-en-1
City
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Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

Microsoft AI is looking for a Member of Technical Staff, Pre-Training Infrastructure, to help build the next wave of capabilities for our personalized AI assistant, Copilot. We’re seeking someone who brings an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The ideal candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models powering our innovative products. Expect to wear multiple hats and work across engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructure, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.

Microsoft AI is building the training infrastructure that powers frontier-scale models and advances research toward humanist superintelligence. As a Member of Technical Staff, Pre-Training Infrastructure, you will contribute to a fast-moving codebase that enables training at unprecedented scale. This role focuses on building and optimizing the software stack for massive GPU clusters, high-throughput storage systems, and cutting-edge AI research. You will work closely with model scientists to scale up the latest research recipes, implement new forms of distributed training parallelism, and ensure the reliability and performance of thousands of GPUs across our supercomputing fleet. Profiling, benchmarking, debugging, and fine-grained optimization are core to this role, demanding both engineering rigor and creativity.

As a contributing member of the core engineering group, you will also bring best practices, drive architectural changes, and influence the roadmap for relevant software and hardware components. Your work will directly impact business goals for a wide range of users and facilitate the next wave of growth and innovation in AI.

Our newly formed organization, 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 part of the team shaping the future of 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, 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
  • Design, implement, test, and optimize distributed training infrastructure in Python and C++ for large-scale GPU clusters.
  • Profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.
  • Optimize collective communication libraries (e.g., NCCL) for emerging NVLink and InfiniBand topologies.
  • Collaborate with hardware teams to optimize for next-generation accelerators (NVIDIA, AMD, and beyond).
  • 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 powering our innovative products.
  • Find solutions to overcome roadblocks and deliver your work to 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.

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 in distributed computing and large-scale systems.
  • Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.
  • Proven ability to profile, benchmark, and optimize performance-critical systems.
  • Experience in leading technical projects and supporting architectural decisions with data. 
  • Experience building infrastructure for large-scale machine learning or generative AI workloads.
  • Experience in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms.
  • Track record of contributing to high-performance computing or large-scale AI infrastructure projects. 


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, Pre-Training Infrastructure – MAI Superintelligence Team Member of Technical Staff, Pre-Training Infrastructure – MAI Superintelligence Team

Location
Redmond, United States
Job Number
200009146-en-2
City
Redmond
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview

Microsoft AI is looking for a Member of Technical Staff, Pre-Training Infrastructure, to help build the next wave of capabilities for our personalized AI assistant, Copilot. We’re seeking someone who brings an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The ideal candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models powering our innovative products. Expect to wear multiple hats and work across engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructure, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.

Microsoft AI is building the training infrastructure that powers frontier-scale models and advances research toward humanist superintelligence. As a Member of Technical Staff, Pre-Training Infrastructure, you will contribute to a fast-moving codebase that enables training at unprecedented scale. This role focuses on building and optimizing the software stack for massive GPU clusters, high-throughput storage systems, and cutting-edge AI research. You will work closely with model scientists to scale up the latest research recipes, implement new forms of distributed training parallelism, and ensure the reliability and performance of thousands of GPUs across our supercomputing fleet. Profiling, benchmarking, debugging, and fine-grained optimization are core to this role, demanding both engineering rigor and creativity.

As a contributing member of the core engineering group, you will also bring best practices, drive architectural changes, and influence the roadmap for relevant software and hardware components. Your work will directly impact business goals for a wide range of users and facilitate the next wave of growth and innovation in AI.

Our newly formed organization, 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 part of the team shaping the future of 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, 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
  • Design, implement, test, and optimize distributed training infrastructure in Python and C++ for large-scale GPU clusters.
  • Profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.
  • Optimize collective communication libraries (e.g., NCCL) for emerging NVLink and InfiniBand topologies.
  • Collaborate with hardware teams to optimize for next-generation accelerators (NVIDIA, AMD, and beyond).
  • 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 powering our innovative products.
  • Find solutions to overcome roadblocks and deliver your work to 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.

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 in distributed computing and large-scale systems.
  • Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.
  • Proven ability to profile, benchmark, and optimize performance-critical systems.
  • Experience in leading technical projects and supporting architectural decisions with data. 
  • Experience building infrastructure for large-scale machine learning or generative AI workloads.
  • Experience in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms.
  • Track record of contributing to high-performance computing or large-scale AI infrastructure projects. 


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, Pre-Training Infrastructure – MAI Superintelligence Team Member of Technical Staff, Pre-Training Infrastructure – MAI Superintelligence Team

Location
New York, United States
Job Number
200009146-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, Pre-Training Infrastructure, to help build the next wave of capabilities for our personalized AI assistant, Copilot. We’re seeking someone who brings an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The ideal candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models powering our innovative products. Expect to wear multiple hats and work across engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructure, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.

Microsoft AI is building the training infrastructure that powers frontier-scale models and advances research toward humanist superintelligence. As a Member of Technical Staff, Pre-Training Infrastructure, you will contribute to a fast-moving codebase that enables training at unprecedented scale. This role focuses on building and optimizing the software stack for massive GPU clusters, high-throughput storage systems, and cutting-edge AI research. You will work closely with model scientists to scale up the latest research recipes, implement new forms of distributed training parallelism, and ensure the reliability and performance of thousands of GPUs across our supercomputing fleet. Profiling, benchmarking, debugging, and fine-grained optimization are core to this role, demanding both engineering rigor and creativity.

As a contributing member of the core engineering group, you will also bring best practices, drive architectural changes, and influence the roadmap for relevant software and hardware components. Your work will directly impact business goals for a wide range of users and facilitate the next wave of growth and innovation in AI.

Our newly formed organization, 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 part of the team shaping the future of 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, 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
  • Design, implement, test, and optimize distributed training infrastructure in Python and C++ for large-scale GPU clusters.
  • Profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.
  • Optimize collective communication libraries (e.g., NCCL) for emerging NVLink and InfiniBand topologies.
  • Collaborate with hardware teams to optimize for next-generation accelerators (NVIDIA, AMD, and beyond).
  • 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 powering our innovative products.
  • Find solutions to overcome roadblocks and deliver your work to 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.

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 in distributed computing and large-scale systems.
  • Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.
  • Proven ability to profile, benchmark, and optimize performance-critical systems.
  • Experience in leading technical projects and supporting architectural decisions with data. 
  • Experience building infrastructure for large-scale machine learning or generative AI workloads.
  • Experience in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms.
  • Track record of contributing to high-performance computing or large-scale AI infrastructure projects. 


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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Senior Software Engineer Senior Software Engineer

Location
Vancouver, Canada
Job Number
200001530-en-1
City
Vancouver
Team
Monetization
Country
Canada
Discipline
Software Engineering
Overview
Join our team to design, build, and optimize the rendering backend platform and robust build/test/release pipelines that empower hundreds of developers to efficiently create, test, and ship front-end features. Our work will accelerate innovation, streamline developer productivity, and enable seamless web experiences for over 500 million users worldwide.   MSN is a personalized content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. We are seeking a Senior Software Engineer to join us. With nearly 25 years of history, MSN has evolved into a premier content destination with high-quality content, AI-powered user-controlled personalization, and massive global reach. Over the past 4 years, AI and Machine Learning technologies have fueled massive growth, transforming MSN’s content moderation, personalization, and content entry points.    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
– Design, develop, and optimize rendering technologies to deliver fast, scalable, and visually compelling front-end experiences for users worldwide. – Build and maintain automation and CI/CD pipeline solutions, enabling seamless code integration and effective management of one of the largest developer ecosystems. – Design, implement, and advance AI agent solutions that intelligently replace traditional automation logic, driving greater efficiency and adaptability in engineering workflows. – Develop, enhance, and maintain sophisticated unit, visual parity, and integration test frameworks and protocols to ensure consistent quality, reliability, and performance of rendering features. – Collaborate with cross-functional teams to tackle architectural challenges, foster innovation, and accelerate developer productivity. – Proactively pursue new knowledge and best practices to continually improve the availability, reliability, and observability of rendering platforms and automation pipelines.

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. – 2+ years experience with web front-end technologies (e.g., JavaScript/TypeScript, React, Angular)  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 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. – Proficient experience to architect and deliver CI/CD pipelines, automation, and workflows using the latest technologies. – Ability to develop and design reporting solutions using Power BI, including data modeling and visualization to support business decision-making. – Experience with other web and cloud technologies like HTML, CSS, Kubernetes, Azure (or other non-Microsoft cloud platforms) is an asset. – Problem-solving skills with an understanding of system design and architecture. 



Software Engineering IC4 – The typical base pay range for this role across Canada is CAD $114,400 – CAD $203,900 per year.

Find additional pay information here:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html



Software Engineering IC4 – L’échelle salariale de base typique pour ce rôle dans l’ensemble du Canada est de 114,400 $ CAD à 203,900 $ CAD par année.

Pour plus d’information au sujet de la rémunération, veuillez cliquer ici:
https://careers.microsoft.com/v2/global/en/canada-pay-information.html



Ce poste sera ouvert pendant au moins cinq jours et les candidatures seront acceptées de façon continue jusqu’à ce que le poste soit pourvu.


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




Microsoft est un employeur offrant l’égalité d’accès à l’emploi. Tous les candidats qualifiés seront pris en considération pour l’emploi, sans égard à l’âge, à l’ascendance, à la citoyenneté, à la couleur, aux congés médicaux ou familiaux, à l’identité ou à l’expression de genre, aux renseignements génétiques, à l’état d’immigration, à l’état matrimonial, à l’état de santé, à l’origine nationale, à un éventuel handicap physique ou mental, à l’affiliation politique, au statut de vétéran protégé ou au statut militaire, à la race, à l’ethnie, à la religion, au sexe (y compris la grossesse), à l’orientation sexuelle ou à toute autre caractéristique protégée par les lois, ordonnances et règlements locaux applicables. Si vous avez besoin d’aide avec des accommodements religieux et/ou d’un accommodement raisonnable en raison d’un handicap pendant le processus de candidature, apprenez-en plus sur la demande d’accommodement.


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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Principal Applied Scientist Principal Applied Scientist

Location
Beijing, China
Job Number
200002286-en-1
City
Beijing
Team
Other
Country
China
Discipline
Applied Sciences
Overview
We are seeking an Applied Scientist / AI Architect with strong hands-on experience in building and optimizing large language models (LLMs), agentic AI systems, and end-to-end model training workflows. This role is ideal for scientists with a solid applied background who can translate state-of-the-art research into real-world impact. A research-oriented mindset with publications in top AI/ML venues is highly preferred but not strictly required. Our mission is to innovate in collaborative office area by exploring LLM and agentic AI. You will collaborate closely with product, engineering, and research teams to ship intelligent, reliable, and innovative AI capabilities at scale.

Responsibilities

• Design and implement advanced LLM-based architectures and agentic systems for real-world product scenarios.

• Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as reasoning, planning, long-term memory, code-gen based design.

• Monitor and improve model performance post-deployment through data-driven iteration and error analysis.

• Collaborate across teams to deliver robust, scalable models aligned with product objectives and user value.

• Contribute to the organization’s scientific direction by identifying research opportunities that drive long-term differentiation.



Qualifications

• M.S. or Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent practical experience.

• 5+ years of experience in applied machine learning, with a focus on LLMs, agent systems, or reinforcement learning.

• Strong hands-on experience with prompt engineering, context engineering, retrieval-augmented generation (RAG), tool use, planning agents, and long-context modeling, etc.

• Familiarity with model training pipelines using PyTorch, TensorFlow, JAX, or similar frameworks, evaluation strategies, and model deployment best practices.

• Solid publication record (e.g., NeurIPS, ICLR, ACL, ICML, EMNLP) is a plus, but emphasis is placed on practical contributions.

• Strong coding and debugging skills, and comfort working in cross-functional, agile environments.


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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