Principal Software Engineering–Backend–Microsoft Copilot
Principal Software Engineering–Backend–Microsoft Copilot
- Location
- Job Number
- City
- Team
- Country
- Discipline
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Our Platform team is responsible for building and scaling the backend platform at the core of Microsoft consumer products, the integrations with our AI models and the tools that our engineers use. We collaborate closely with cross-functional engineering, product management, and AI research, empowering all Microsoft Copilot teams to more effectively bring cutting-edge AI research to production.
We’re seeking experienced Platform Infrastructure Engineers who are passionate about AI, are deeply proficient in scaling backend technologies, and possess a mastery of templating to architect solutions that stand the test of time.
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 maintain performant and secure AI Platform services that power Copilot.
- Work collaboratively with platform, infrastructure, application engineers, and AI researchers to build next generation AI products and services.
- Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components.
- 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 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 4+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc.
- 6+ years’ experience in building and releasing production software at the platform level.
- Solid knowledge of APIs, data flows, systems, and services.
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.
- Solid experience in designing and building scalable backend services, APIs, and distributed systems in cloud environments.
- Solid understanding of system design principles, including data modeling, caching strategies, and service-to-service communication (e.g., REST, gRPC).
- Ability to troubleshoot and resolve complex backend issues across multiple services, with a focus on reliability, performance, and scalability.
- Proficiency in writing clean, maintainable, and testable code, with a solid emphasis on code quality, observability, and security best practices.
- Experience working with databases (SQL/NoSQL), and a deep understanding of data consistency, indexing, and query optimization.
- Demonstrated ability to collaborate effectively with cross-functional teams, including frontend engineers, product managers, and infrastructure teams.
- Solid communication skills, with the ability to explain backend architectures and technical trade-offs to both technical and non-technical stakeholders.
- Ability to operate in a fast-paced environment, handle ambiguity, and manage multiple priorities with a sold sense of ownership.
- Passion for backend technologies and distributed systems, with a continuous learning mindset toward new frameworks, architectures, and AI-driven backend capabilities.
- Proven track record of contributing to team growth through code reviews, technical mentorship, and knowledge sharing.
#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–Backend–Microsoft Copilot
Senior Software Engineer–Backend–Microsoft Copilot
- Location
- Job Number
- City
- Team
- Country
- Discipline
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Our Platform team is responsible for building and scaling the backend platform at the core of Microsoft consumer products, the integrations with our AI models and the tools that our engineers use. We collaborate closely with cross-functional engineering, product management, and AI research, empowering all Microsoft Copilot teams to more effectively bring cutting-edge AI research to production.
We’re seeking experienced Platform Infrastructure Engineers who are passionate about AI, are deeply proficient in scaling backend technologies, and possess a mastery of templating to architect solutions that stand the test of time.
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
- Design, develop, and maintain performant and secure AI Platform services that power Copilot.
- Work collaboratively with platform, infrastructure, application engineers, and AI researchers to build next generation AI products and services.
- Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components.
- 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.
- 4+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc.
- 4+ years’ experience in building and releasing production software at the platform level.
- Solid knowledge of APIs, data flows, systems, and services.
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.
- Solid experience in designing and building scalable backend services, APIs, and distributed systems in cloud environments.
- Solid understanding of system design principles, including data modeling, caching strategies, and service-to-service communication (e.g., REST, gRPC).
- Ability to troubleshoot and resolve complex backend issues across multiple services, with a focus on reliability, performance, and scalability.
- Proficiency in writing clean, maintainable, and testable code, with a solid emphasis on code quality, observability, and security best practices.
- Experience working with databases (SQL/NoSQL), and a deep understanding of data consistency, indexing, and query optimization.
- Demonstrated ability to collaborate effectively with cross-functional teams, including frontend engineers, product managers, and infrastructure teams.
- Solid communication skills, with the ability to explain backend architectures and technical trade-offs to both technical and non-technical stakeholders.
- Ability to operate in a fast-paced environment, handle ambiguity, and manage multiple priorities with a solid sense of ownership.
- Passion for backend technologies and distributed systems, with a continuous learning mindset toward new frameworks, architectures, and AI-driven backend capabilities.
- Proven track record of contributing to team growth through code reviews, technical mentorship, and knowledge sharing.
#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–Backend–Microsoft Copilot
Senior Software Engineer–Backend–Microsoft Copilot
- Location
- Job Number
- City
- Team
- Country
- Discipline
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Our Platform team is responsible for building and scaling the backend platform at the core of Microsoft consumer products, the integrations with our AI models and the tools that our engineers use. We collaborate closely with cross-functional engineering, product management, and AI research, empowering all Microsoft Copilot teams to more effectively bring cutting-edge AI research to production.
We’re seeking experienced Platform Infrastructure Engineers who are passionate about AI, are deeply proficient in scaling backend technologies, and possess a mastery of templating to architect solutions that stand the test of time.
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
- Design, develop, and maintain performant and secure AI Platform services that power Copilot.
- Work collaboratively with platform, infrastructure, application engineers, and AI researchers to build next generation AI products and services.
- Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components.
- 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.
- 4+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc.
- 4+ years’ experience in building and releasing production software at the platform level.
- Solid knowledge of APIs, data flows, systems, and services.
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.
- Solid experience in designing and building scalable backend services, APIs, and distributed systems in cloud environments.
- Solid understanding of system design principles, including data modeling, caching strategies, and service-to-service communication (e.g., REST, gRPC).
- Ability to troubleshoot and resolve complex backend issues across multiple services, with a focus on reliability, performance, and scalability.
- Proficiency in writing clean, maintainable, and testable code, with a solid emphasis on code quality, observability, and security best practices.
- Experience working with databases (SQL/NoSQL), and a deep understanding of data consistency, indexing, and query optimization.
- Demonstrated ability to collaborate effectively with cross-functional teams, including frontend engineers, product managers, and infrastructure teams.
- Solid communication skills, with the ability to explain backend architectures and technical trade-offs to both technical and non-technical stakeholders.
- Ability to operate in a fast-paced environment, handle ambiguity, and manage multiple priorities with a solid sense of ownership.
- Passion for backend technologies and distributed systems, with a continuous learning mindset toward new frameworks, architectures, and AI-driven backend capabilities.
- Proven track record of contributing to team growth through code reviews, technical mentorship, and knowledge sharing.
#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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Are you interested in building personalized recommendation for billions of users, especially in finance domains?
Finance Recommendation team in Content Service organization is building personalized recommendation in finance domains in various product, including MSN and Edge default home page, etc. Our team focus on whole recommendation stack building, especially the modeling parts in different recommendation layers, including document understanding, segment recall, user profile modeling, personalized ranking, diversity optimization, etc.
If you’re looking for one team to utilize your ML skills to optimize user engagement of real product, grow your ML skills by iterating against users’ feedbacks and resolving real product challenges, then this is the team for you!
Responsibilities
As one applied scientist in the team, your major responsibilities including:
Thinking through the product scenarios and goals, identify key challenges and design experimental process for iteration and optimization.
Offline model training and optimizing, collaborating with platform team on online serving and perf optimization for shipping.
Keeping on track of research trends in the fields of personalized recommendation, deep learning and AI.
Work independently and collaboratively with other
Qualifications
Master / PhD in computer science or related fields focus on machine learning and AI.
3+ years’ experiences in areas of machine learning, natural language processing or large-scale data mining.
Solid coding skill and good experience on deep learning framework like PyTorch, TensorFlow, CNTK, etc.
Preferred:
Working / research experiences on recommendation areas is good plus.
Good communication skills and self-motivated.
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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MTS – Platform Engineering Manager
MTS – Platform Engineering Manager
- Location
- Job Number
- City
- Team
- Country
- Discipline
Responsibilities
- Build secure and performant AI Platform services that power Copilot.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.
- 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Master’s Degree in Computer Science or related technical field AND 10+ 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:
- 8+ 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.
- 8+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
- 6+ years people management experience.
- Experience working with AI platforms, frameworks, and APIs.
- Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
- 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.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Software Engineering M6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Member of Technical Staff – AI Product – Build Engineer
Member of Technical Staff – AI Product – Build Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
We are looking for a Build Engineer to design and improve the systems that transform source code into reliable, production-ready artifacts. This role focuses on build systems, CI pipelines, and developer workflows to ensure fast, reliable, and reproducible builds across our engineering organization. You will work closely with product engineers, platform teams, and infrastructure engineers to improve the efficiency and reliability of our development lifecycle. Build and release engineers play a critical role in the software lifecycle by defining the steps required to build, test, package, and release software reliably across environments.
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 and maintain scalable build systems and tooling
- Optimize build performance, caching, and dependency management
- Support cross-platform builds
- Ensure deterministic and reproducible builds
- Build and maintain CI pipelines for automated builds and testing
- Improve pipeline reliability and reduce build/test latency
- Integrate build pipelines with release and deployment systems
- Design artifact packaging and versioning systems
- Support release automation and rollback strategies
- Manage build metadata and release metrics
- Diagnose and fix build failures and flaky pipelines
- Maintain build infrastructure and automation tooling
- Collaborate with engineers to resolve build and dependency issues
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.
- 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.
- Experience building CI/CD pipelines and automation systems
- Strong scripting skills (Python, Bash, or similar)
- Sufficient in git version control, git-ops, Docker, Kubernetes
- Familiar with common web toolchains like npm/pnpm, vite
- Familiar with GitHub Actions and/or Azure DevOps
- Strong debugging and problem-solving skills
- Experience supporting large codebases or monorepos
- Experience optimizing large build pipelines
- Experience with remote build execution or distributed build systems
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Member of Technical Staff – Copilot AI Evaluation Engineering Manager
Member of Technical Staff – Copilot AI Evaluation Engineering Manager
- Location
- Job Number
- City
- Team
- Country
- Discipline
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI (MAI) is seeking experienced Member of Technical Staff – Copilot AI Evaluation Engineering Manager to lead building our LLM evaluation solutions for Copilot. You’ll work in a deeply iterative, collaborative, fast-paced environment to improve our technology for millions of users around the world. You will lead a team of talented software engineers and applied AI engineers to deliver world-class evaluation solutions that are secure, reliable, and scalable, while collaborating closely with cross-functional teams including Product and Research. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.
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
- Hire, manage, and lead a team of software engineers, AI engineers, and machine learning engineers responsible for delivering world-class LLM evaluation solutions.
- Collaborate with Eng and Product leadership to prioritize features and improve our world-class AI companion to the world
- Design and build evaluation platforms, novel evaluation techniques, and agentic solutions for measuring and improving copilot quality.
- Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination.
- Embody our Culture and Values.
Qualifications
Required Qualifications
- Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Preferred Qualifications
- Bachelor’s Degree in Computer Science, or related technical discipline AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master’s Degree in Computer Science or related technical field AND 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 people management experience.
- Hands on experience with ML and/or AI evaluation OR equivalent experience.
- Experience leading engineering teams to deliver large-scale software systems, preferably in AI, machine learning, graphics or related fields.
- Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
- Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.
- Have strong opinions about best investments to make in establishing the most delightful and performant AI companion engineering system.
Software Engineering M5 – 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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Software Engineer II
Software Engineer II
- Location
- Job Number
- City
- Team
- Country
- Discipline
Imagine helping millions of users discover the best local businesses and services—right when they need them. At Bing Places, we’re on a mission to improve the quality and relevance of local search results across Microsoft platforms. You’ll be part of a team that blends data science, engineering, and product thinking to deliver intelligent, high-impact experiences that shape how people interact with the world around them.
As a Software Engineer II in Bing Places, you will design and build scalable systems that enhance the accuracy, freshness, and trustworthiness of local search results. You’ll collaborate across disciplines to integrate diverse data sources, develop intelligent ranking algorithms, and ship features that directly impact millions of users. This opportunity will allow you to accelerate your career growth, deepen your understanding of geospatial and business data, and sharpen your skills in distributed systems and machine learning. We offer flexible work arrangements, including partial work-from-home options.
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
- Works with appropriate stakeholders to determine user requirements for a set of features.
- Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
- Creates and implements code for a product, service, or feature, reusing code as applicable.
- Contributes to efforts to break down larger work items into smaller work items and provides estimation.
- Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
- Remains 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.
- 2+ years of experience in solving, design, coding, and debugging skills.
- 1+ with data engineering leveraging tools such as Apache Hadoop or Spark or equivalent experience.
Additional or 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
- 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.
- Experience with Azure Cloud, Azure Data Factory (ADF) or Azure Machine Learning (AML).
- 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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Director, AI Strategy & Operations Program Manager
Director, AI Strategy & Operations Program Manager
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Microsoft AI’s (MAI) mission is to use AI responsibly to make everyone more informed, capable, and supported. MAI is responsible for Microsoft’s consumer propositions including Copilot, Bing, MSN, Microsoft Advertising, and Edge, and also develops proprietary foundational AI models through the MAI Superintelligence Team. MAI works closely with teams across Microsoft and across the full AI stack to deliver on Microsoft’s AI ambitions.
We are expanding the Business and Strategy team, within the Office of the CEO of MAI, to run decision cadence and operations for the Superintelligence team’s model development, coordinate resource allocations, align cross functional execution, and deliver leadership ready strategic insights.
The candidate should have a proven track record and strong skills in strategy, business operations, and internal stakeholder management. They should be comfortable running reviews and driving accountability, as well as synthesizing market and competitive intelligence into clear recommendations. They should also be passionate and knowledgeable about AI models and recent breakthroughs and have a strong understanding of the pipeline of training LLMs at a high level.
As a Director, AI Strategy and Operations Program Manager, you will serve as a high leverage, important contributor to the broader strategic and operational needs of MAI. This role includes organizing high impact decision forums, coordinating cross functional execution of model development programs, and translating insights into recommendation memos for leadership, while helping to shape MAI’s overarching strategy and align resources and governance across teams.
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.
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
- Gather competitive and market intelligence on other AI labs and approaches, synthesize insights into succinct briefs, and translate them into recommendation memos for leadership.
- Drive decision cadence and governance organizing and facilitating high impact forums (e.g., model strategy reviews, councils, and executive decision reviews), and ensuring follow through and accountability, Ensure high quality decision materials by curating pre reads, pressure testing narratives, and managing stakeholder feedback loops so presentations and artifacts are evidence based, crisp, and board ready.
- Drive coordination of resource allocations across strategic projects, enabling the team to deliver maximum impact
- Coordinate cross functional execution of key priorities, partnering with teams to remove blockers, escalate risks, and keep initiatives on schedule.
- Build and steward relationships across internal teams and external partners, representing MAI’s model development priorities in cross Microsoft forums and helping align strategy, resources, and governance.
- Embody our Culture and Values.
Qualifications
Required Qualifications
- Master’s Degree in Business Administration or related field AND 4+ years marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organization experience
- OR Bachelor’s Degree in Business, Finance, Economics, Liberal Arts, Computer Science, or related field AND 6+ years marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organization experience
- OR equivalent experience.
Preferred Qualifications
- Master’s Degree in Business Administration or related field AND 8+ years marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organization experience
- OR Bachelor’s Degree in Business, Finance, Economics, Liberal Arts, Computer Science, or related field AND 12+ years marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organization experience
- OR equivalent experience.
- 5+ years’ experience working in investment banking or a consultancy firm in the capacity of an Associate, Analyst, Consultant or equivalent, or otherwise as a Program Manager.
- 3+ years’ experience in Strategy, Management Consulting, and/or Finance.
Business Strategy IC5 – The typical base pay range for this role across the U.S. is USD $130,900 – $251,900 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 – $272,300 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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MTS – AI Platform Engineer
MTS – AI Platform Engineer
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As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build the next generation of AI Agents with world‑class orchestration and inference layers—foundational systems that will redefine how personal AI reasons, acts, and scales. You will get to closely partner with our Research teams who are building the next generation of foundational models. Here is a quick peek into our vision: Towards Humanist Superintelligence.
At Microsoft AI, our Platform Engineering team is building AI that’s not just powerful, but deeply human-centered. We design and optimize AI Agents that reason, plan, and act autonomously—always with empathy, ethics, and real-world impact in mind. We define and orchestrate disruptive multi-agent flows that enable coordinated, emergent intelligence across systems. If you’re passionate about technical excellence and want to create AI that empowers people and serves society, join us to shape the future of trustworthy, human-aligned AI.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Build secure and performant AI Platform services that power Copilot.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.
- 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 discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Preferred Qualifications:
- Bachelor’s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web applications with coding in languages including, but not limited to, Python, C#, C++, Rust, Java
- OR equivalent experience.
- 6+ 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.
- 6+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
- Experience working with AI platforms, frameworks, and APIs.
- Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
- 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.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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