Member of Technical Staff – Data Engineering Manager – Microsoft AI – Copilot
Member of Technical Staff – Data Engineering Manager – Microsoft AI – Copilot
- Location
- Job Number
- City
- Team
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- Discipline
As Microsoft continues to push the boundaries of AI, we are on the lookout for 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 (MS AI) is seeking a experienced Member of Technical Staff – Data Engineering Manager – Microsoft AI – Copilot to help build mission critical data pipelines that ingest, process and publishes data streams from our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in big data processing technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The Data Platform Engineering team is responsible for building core data pipelines that help fine tune models, support introspection and retrospection of data so that we can constantly evolve and improve human AI interactions.
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 scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform 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.
- Ability to manage a small team of 4 or 5 senior data engineers, talent management experiences. Additionally the candidate will have experiences owning engineering and operational excellence for data platform which includes PR reviews, code quality, engineering productivity, etc.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
- OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
- OR equivalent experience.
- 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.
- Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc.
- 3+ years experience with data governance, data compliance and/or data security.
- 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
- 2+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
- 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.
- Interest in 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.
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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Member of Technical Staff – Data Infra – MAI Superintelligence Team
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Director of Product Operations (Central Ops)
Director of Product Operations (Central Ops)
- Location
- Job Number
- City
- Team
- Country
- Discipline
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, as well as developing proprietary foundational AI models. MAI works closely with a variety of teams across Microsoft and across the full AI stack to deliver on Microsoft’s AI ambitions. Within MAI, the Monetization team focuses on both direct (paid directly by a customer) and indirect (paid by a third party) models of revenue generation across Microsoft properties.
In Central Product Operations for Microsoft AI Monetization, you’ll shape how our AI products scale globally—driving clarity, alignment, and execution across Product, Engineering, and Sales. You’ll operate at the nerve center of the business, turning strategy into action and removing friction across the entire product lifecycle.
Examples of high‑impact work include:
- Designing the operating model for how products ship, from incubation to global rollout—defining rhythms, decision forums, and cross‑team interfaces that accelerate delivery.
- Orchestrating multi‑team launch readiness for major capabilities, ensuring engineering, PM, marketing, support, and field teams land a cohesive customer experience.
- Building the unified metrics framework for AI monetization, partnering with data science to define what “good” looks like and how we measure product health, adoption, and revenue impact.
- Driving annual and quarterly strategic planning, aligning product bets, capacity, and investment across a complex portfolio.
- Leading cross‑org product reviews with senior leadership, synthesizing insights across teams to highlight risks, opportunities, and strategic tradeoffs.
- Standing up new horizontal programs, such as customer feedback loops, competitive intelligence reviews, or cross‑product governance.
This is a role for someone who loves solving ambiguous problems, connecting dots across disciplines, and building the systems that help world‑class product teams move faster.
Our Monetization teams work within Microsoft AI, an organization responsible for Copilot, Bing, Edge, MSN, and other AI-first products. The organization has all the ingredients needed for success with Product, Engineering, Research, and Go To Market functions partnering as peers with shared goals. This enables close collaboration and rapid decision making. You will work closely with our Product, Engineering, and Sales leaders to ensure efficient and effective operational processes across the product development lifecycle.
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
- Develop and optimize scalable processes for the entire product development lifecycle.
- Establish and maintain a predictable rhythm for product releases and strategic planning.
- Streamline communication channels between product, engineering, design, and commercial teams.
- Partner with data science to build and maintain dashboards to monitor product health and performance.
- Serve as the central point of contact for operational inquiries related to the product portfolio.
- Communicate product roadmap updates, launch timelines, and performance insights to the wider organization.
- Create and maintain a centralized knowledge base, serving as the single source of truth for product documentation.
Qualifications
Required Qualifications:
- Bachelor’s Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 8+ years experience in financial management, business planning, operations management, strategy, project management, human resources, or business-related roles
- OR equivalent experience.
Preferred Qualifications:
- Master’s Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 12+ years experience in financial management, business planning, operations management, strategy, project management, human resources, or business-related roles
- OR Bachelor’s Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 15+ years experience in financial management, business planning, operations management, strategy, project management, human resources, or business-related roles
- OR equivalent experience.
- Consistent history of working directly with product, engineering, and go-to-market (GTM) leadership managing multiple complex, large-scale product launches and go-to-market strategies simultaneously.
- 5+years of product operations experience that includes product development lifecycle experience
- 5+ years of experience with product roadmap management and strategic planning for product releases
#MicrosoftAI
Business Management IC6 – The typical base pay range for this role across the U.S. is USD $130,900 – $277,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 – $303,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Senior Data Scientist
Senior Data Scientist
- Location
- Job Number
- City
- Team
- Country
- Discipline
We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers.
We are looking for high-energy, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Measurement: Define, invent, and deliver metrics which accurately measure success across various products and marketplace components.
- Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.
- Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
- Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
- Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- 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:
- Demonstrated experience in applying statistics and ML models to generate clear actionable insights.
- Experience in A/B testing, metrics and/or time series analysis.
- Excellent communication to be able to communicate insights to senior leaders.
- Mindset that promotes learning over knowing to solve complex business problems.
- 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
- 3+ years of hands-on experience in the following programming languages like Python/R, SQL, C#.
#MicrosoftAI
Data Science IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Senior Data Scientist
Senior Data Scientist
- Location
- Job Number
- City
- Team
- Country
- Discipline
We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers.
We are looking for high-energy, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Measurement: Define, invent, and deliver metrics which accurately measure success across various products and marketplace components.
- Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.
- Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
- Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
- Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- 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:
- Demonstrated experience in applying statistics and ML models to generate clear actionable insights.
- Experience in A/B testing, metrics and/or time series analysis.
- Excellent communication to be able to communicate insights to senior leaders.
- Mindset that promotes learning over knowing to solve complex business problems.
- 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
- 3+ years of hands-on experience in the following programming languages like Python/R, SQL, C#.
#MicrosoftAI
Data Science 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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Principal Software Engineer
Principal Software Engineer
- Location
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- City
- Team
- Country
- Discipline
Are you an amazing engineer with penchant for taking up big problems and hard challenges? Do you enjoy the thrill and energy of a startup, challenges of cutting-edge innovations, coupled with engineering rigor? Would you like to be part of an agile, learning, empowered, energetic and collaborative team? Do you believe in clean design, crafted implementation, being meticulous about quality, obsessing about the customer and innovating daily? The extensive reach of Edge coupled with building delightful everyday experiences on a range of devices offers exceptional opportunities of independent ownership, working on cutting edge technologies and professional growth.
Come join a team of highly motivated developers working on Microsoft Edge Autofill and Passwords team. We are looking for an individual with high standards of excellence to join our engineering team to build amazing experiences that are robust, fast, and seamless. The ideal candidate is skilled at design and implementation, able to and own large architectural designs and collaborate well across multiple partner 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.
Responsibilities
- Be a great technical leader for the team and broader organization. You will be working with a very technical diverse team of between 5 and 8 developers and expected to provide technical direction.
- Are capable of designing and implementing large feature areas, working in the code, guiding the team, and understanding at a detailed level how the software works.
- Architect robust scalable software designs, own technical strategy, have an informed opinion about how the software should evolve and ability to land your design with high quality and on time.
- Create layered, componentized, testable, interface-based designs ensuring a robust high-quality implementation and crafted end-user experiences.
- Lead by example and mentors others to produce extensible and maintainable code used across products.
- Leverage subject-matter expertise of cross-product features with appropriate stakeholders (e.g., project managers) to drive multiple group’s project plans, release plans, and work items.
- Hold accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
- Proactively seek new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and shares knowledge with other engineers.
Qualifications
Required Qualifications:
- Bachelor’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.
- 6+ years of professional industry experience working on large projects.
- Proficient in backend engineering.
- Excellent design, coding, debugging, and problem-solving skills.
- Ability to design performant, highly usable, scalable, world-ready, accessible software.
- Ability to create layered, componentized, testable, interface-based designs.
- Consistent track record of shipping compelling technologies.
Preferred Qualifications:
- 10+ years of experience with Microservices and Azure or equivalent cloud infrastructure.
- Experience in Cloud deployment, Deployment automation, CI/CD.
- Experience in data engineering and analytics is desirable.
- Experience building solutions with Azure is a plus (Cosmos DB, Service Fabric, AAD, Pipelines).
- Experience in C# or equivalent high-level language.
- Experience with python, PowerShell or relevant scripting languages.
- Experience with HTML, CSS, JavaScript, and other web technologies.
- Experience architecting and integrating AI/ML tech stacks, experience with production-grade LLM workflows and ability to drive efficiency through advanced prompt engineering.
- Excellent written and verbal communication skills.
- Effective collaboration skills driving changes at scale.
#MicrosoftAI #EdgeIndia #Edge #MAI #MAIIndia
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Member of Technical Staff – Data Engineering Manager – Microsoft AI – Copilot
Member of Technical Staff – Data Engineering Manager – Microsoft AI – Copilot
- Location
- Job Number
- City
- Team
- Country
- Discipline
As Microsoft continues to push the boundaries of AI, we are on the lookout for 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 (MS AI) is seeking a experienced Member of Technical Staff – Data Engineering Manager – Microsoft AI – Copilot to help build mission critical data pipelines that ingest, process and publishes data streams from our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in big data processing technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The Data Platform Engineering team is responsible for building core data pipelines that help fine tune models, support introspection and retrospection of data so that we can constantly evolve and improve human AI interactions.
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 scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform 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.
- Ability to manage a small team of 4 or 5 senior data engineers, talent management experiences. Additionally the candidate will have experiences owning engineering and operational excellence for data platform which includes PR reviews, code quality, engineering productivity, etc.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
- OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
- OR equivalent experience.
- 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.
- Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc.
- 3+ years experience with data governance, data compliance and/or data security.
- 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
- 2+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
- 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.
- Interest in 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.
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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Member of Technical Staff – Data Infra – MAI Superintelligence Team
Member of Technical Staff – Data Infra – MAI Superintelligence Team
Member of Technical Staff – Data Engineering Manager – Microsoft AI – Copilot
Member of Technical Staff – Data Engineering Manager – Microsoft AI – Copilot
- Location
- Job Number
- City
- Team
- Country
- Discipline
As Microsoft continues to push the boundaries of AI, we are on the lookout for 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 (MS AI) is seeking a experienced Member of Technical Staff – Data Engineering Manager – Microsoft AI – Copilot to help build mission critical data pipelines that ingest, process and publishes data streams from our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in big data processing technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The Data Platform Engineering team is responsible for building core data pipelines that help fine tune models, support introspection and retrospection of data so that we can constantly evolve and improve human AI interactions.
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 scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform 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.
- Ability to manage a small team of 4 or 5 senior data engineers, talent management experiences. Additionally the candidate will have experiences owning engineering and operational excellence for data platform which includes PR reviews, code quality, engineering productivity, etc.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
- OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
- OR equivalent experience.
- 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.
- Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc.
- 3+ years experience with data governance, data compliance and/or data security.
- 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
- 2+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
- 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.
- Interest in 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.
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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Member of Technical Staff – Data Infra – MAI Superintelligence Team
Member of Technical Staff – Data Infra – MAI Superintelligence Team
Principal Machine Learning Engineer
Principal Machine Learning Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
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 evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish dashboards/SLOs.
- Generalize machine learning (ML) solutions into repeatable frameworks.
- Operationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
- Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
- Collaborate cross-functionally with DS, Security, and Platform to define schemas, access patterns, and governance.
- Independently write efficient, readable, extensible code and model pipelines.
- Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
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.
Preferred Qualifications:
- 7+ years’ experience writing production-quality Python or Java or Scala code.
- 5+ years’ experience in distributed systems design and implementation of large scale data processing systems
- 3+ years’ experience building ML data pipelines using atleast one of AML, Promptflow, Langchain or LangGraph
- Demonstrated interest in Responsible AI.
- Experience prompting, evaluating, and working with large language models.
#MicrosoftAI
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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Software Engineer II
Member of Technical Staff – Data Infra – MAI Superintelligence Team
Member of Technical Staff – Data Infra – MAI Superintelligence Team
Member of Technical Staff – Data Engineer
Member of Technical Staff – Data Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
As Microsoft continues to push the boundaries of AI, we are on the lookout for 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 (MS AI) is seeking a experienced Member of Technical Staff – Data Engineer – Microsoft AI – Copilot to help build mission critical data pipelines that ingest, process and publishes data streams from our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in big data processing technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The Data Platform Engineering team is responsible for building core data pipelines that help fine tune models, support introspection and retrospection of data so that we can constantly evolve and improve human AI interactions.
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 scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform 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, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
- OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
- OR equivalent experience.
- 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.
- Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc.
- 3+ years experience with data governance, data compliance and/or data security.
- 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
- 2+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
- 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.
- Interest in 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.
Data Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
Similar jobs
Software Engineer II
Member of Technical Staff – Data Infra – MAI Superintelligence Team
Member of Technical Staff – Data Infra – MAI Superintelligence Team
Member of Technical Staff – Data Engineer
Member of Technical Staff – Data Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
As Microsoft continues to push the boundaries of AI, we are on the lookout for 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 (MS AI) is seeking a experienced Member of Technical Staff – Data Engineer – Microsoft AI – Copilot to help build mission critical data pipelines that ingest, process and publishes data streams from our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in big data processing technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The Data Platform Engineering team is responsible for building core data pipelines that help fine tune models, support introspection and retrospection of data so that we can constantly evolve and improve human AI interactions.
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 scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform 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, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
- OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
- OR equivalent experience.
- 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.
- Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc.
- 3+ years experience with data governance, data compliance and/or data security.
- 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
- 2+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.
- 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.
- Interest in 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.
Data Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Member of Technical Staff – Data Infra – MAI Superintelligence Team
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