Member of Technical Staff – Privacy Engineer, Health
- Location
- Job Number
- City
- Team
- Country
- Discipline
Microsoft AI (MAI) is building consumer health experiences – including Copilot Health – that bring trustworthy, AI-powered guidance to millions of people. Health information is among the most sensitive data anyone shares, and the trust people place in us depends on getting privacy, security, and regulatory compliance right from the very first line of code.
We are looking to hire our engineering team’s anchor for all things privacy, compliance, and regulatory. This is a senior individual-contributor role for a hands-on engineer who can set technical direction, build privacy-preserving systems, and serve as the trusted point of contact who keeps our products on the right side of a fast-evolving regulatory landscape. You will work at the intersection of privacy engineering, health technology, and applied AI – partnering closely with product, security, legal, and compliance to make privacy-by-design the default rather than an afterthought.
If you are energized by hard problems where protecting people and shipping great products are equally non-negotiable, this role offers outsized impact on how responsible AI in health is built.
Responsibilities
Be the primary point of contact for privacy, compliance, and regulatory matters within the engineering team – the person product and engineering turn to for guidance, design review, and decisions.
Ensure products such as Copilot Health are designed and built in a privacy-preserving way, embedding data minimization, purpose limitation, and privacy-by-design into architecture from the outset.
Translate complex health and data-protection regulations – including UK and EU GDPR, HIPAA, and the EU AI Act – into concrete technical requirements, engineering guardrails, and automated, continuously verifiable controls.
Lead privacy and security design reviews and threat modeling for new features and models, identifying risks early and architecting practical, scalable mitigations.
Design and build foundational privacy infrastructure: data classification, policy-driven access controls, consent and preference management, audit logging, data lineage, and retention and lifecycle controls.
Evaluate and apply privacy-enhancing technologies – such as differential privacy, de-identification, secure enclaves, and federated approaches – where they meaningfully reduce risk to users.
Build reusable libraries, patterns, and tooling that let every engineer ship privacy-preserving features by default, and raise the team’s privacy and compliance fluency through mentorship and clear standards.
Partner across legal, compliance, security, and product to balance strong user protections with product velocity, and to support audits, certifications, and regulator-facing evidence.
Stay ahead of emerging health-privacy regulation and industry practice, bringing that perspective into roadmaps before requirements become blockers.
Qualifications
Required qualifications
Extensive professional software engineering experience building and operating production systems at scale, with significant depth in privacy, security, or data protection.
Strong programming skills in at least one major language (e.g., C#, Python, Go, Java, or similar) and a track record of shipping reliable backend and infrastructure systems.
Demonstrated ability to translate privacy and regulatory requirements (such as GDPR or HIPAA) into technical designs and enforceable controls.
Hands-on command of privacy and security fundamentals: privacy-by-design, data minimization, access-control models (RBAC/ABAC), encryption, audit logging, and data lifecycle management.
Experience conducting privacy and security reviews, threat modeling, and risk assessments.
Excellent cross-functional communication – able to influence product, engineering, legal, and compliance stakeholders and explain trade-offs clearly.
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
Preferred qualifications
Experience in health technology (strongly preferred), or in another highly regulated industry such as financial services, government, or insurance (acceptable).
Familiarity with health-data standards and governance frameworks (e.g., HIPAA, HITRUST, ISO 27001/27701, NHS data governance, FHIR and clinical data handling).
Practical experience applying privacy-enhancing technologies – differential privacy, anonymization/de-identification, secure enclaves, or federated learning.
Experience with AI/ML systems and the privacy considerations of training and inference on sensitive data.
Experience with cloud platforms (Azure preferred) and large-scale data systems.
Relevant certifications such as CIPP/E or CIPT.
Software Engineering IC5 – The typical base pay range for this role across United Kingdom is £ 93,500.00 – £ 161,800.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
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
Senior Software Engineer – Microsoft AI, Copilot
Principal Applied Scientist
Principal Applied Scientist
As Microsoft continues to redefine the future of AI, we are seeking passionate engineers to tackle some of the most complex and impactful challenges of our time. Our vision is bold — to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure.
This role focuses on building distributed data systems and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot — responsive to your preferences, workflows, and goals — while preserving privacy, security, performance, and scale.
We are looking for a Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot’s intelligence. You will work across Microsoft AI and Copilot teams.
You will possess a methodical approach to problem-solving, proficiency in backend technologies, a familiarity with applied AI and its unique challenges, and the ability to architect solutions that stand the test of time. The right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment. A key skill is the judgment to make the right risk vs velocity and value decisions.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
- Design data models and APIs that enable Copilot to reason about user context, preferences, and history
- Build real-time and batch personalization engines that adapt Copilot’s behavior.
- Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled
- Optimize for performance, reliability, and cost across diverse workloads and geographies.
- 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 6+ 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’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.
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.
- 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
- Experience with large scale data systems.
- 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.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems 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.
#MicrosoftAI #Copilot
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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
Senior Software Engineer – Microsoft AI, Copilot
Principal Applied Scientist
Principal Applied Scientist
Member of Technical Staff – Applied AI Lead, Health
- Location
- Job Number
- City
- Team
- Country
- Discipline
At Microsoft AI, our Health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse customer health journeys.
What “Applied AI” means at Microsoft AI
We turn frontier models into products people can trust with their health. We build rigorous, health-specific evals and use them to drive real product decisions. We master orchestration, from harness and context engineering to blending different model classes and families and applying state-of-the-art techniques. And we bring deep, bleeding-edge AI expertise that uplevels the wider team and helps shape the product and engineering roadmap.
The role
We are looking for an Applied AI Lead to join our engineering team. This is a hands-on leadership role: you will set the technical direction for this work in the health domain, while growing and developing the engineers who build it. You will be predominantly focused on building Copilot Health, acting as a key bridge between the latest research and product and playing a pivotal role in establishing Copilot as the leader in safe, informative, trustworthy and useful health information.
You’ll bring very strong proficiency in designing, building and running LLM evaluations, and in LLM orchestration: building agentic, multi-step systems that combine prompting, tool use and retrieval to deliver reliable results in production.
Responsibilities
Lead the team
Lead, mentor and grow a team of Applied AI Engineers, fostering a collaborative, inclusive and high-performing environment where engineers do the best work of their careers.
Stay deeply hands-on. Set the technical bar through code and design reviews, lead by example on the hardest problems, and remain a credible technical authority on evals and LLM systems.
Co-own the roadmap. Partner with product leads to qualify and size new opportunities, co-author the product roadmap, and lead the architecture and development of new products and features from 0 to 1.
Own delivery. Plan and prioritise the team’s roadmap, balance a strong bias towards shipping and learning with a high-quality bar, and ensure the reliability of what reaches production.
Set the technical direction on evaluation and orchestration
Define the evaluation strategy. Design and oversee evaluation systems that test LLM capabilities in the health domain, including internal benchmarking and regression testing that capture model accuracy, safety and utility – and make sure results are interpreted and clearly communicated to stakeholders.
Architect LLM orchestration. Guide the design of agentic, multi-step systems that combine prompt / context engineering, tool use and retrieval, and champion best practices for building and deploying them reliably at scale.
Run and direct experiments to determine how different prompting and orchestration techniques affect results on internal and industry benchmarks, and turn those findings into product improvements.
Invest in tooling. Improve the internal tooling used to implement, run and analyse evaluations, and the data pipelines – dataset sourcing, curation and synthesis – that feed them.
Qualifications
Required
Bachelor’s or higher degree in Computer Science or a related technical discipline, AND significant Python programming experience / machine learning research.
Very strong proficiency with LLM evaluations – demonstrated experience designing, building and running eval pipelines, curating and synthesising datasets, designing automated analyses, and explaining results to internal stakeholders.
Very strong proficiency with LLM orchestration – deep, hands-on experience building with and around LLMs, including prompt / context engineering, tool use, harness engineering, retrieval and agentic, multi-step systems, and building tools to analyse and understand their performance.
Proven engineering leadership – 8+ years of software engineering experience, including at least 3 years leading technical teams or projects as a tech lead and/or people manager – mentoring and developing engineers, and guiding a group to deliver high-quality results. Formal people-management experience is preferred; a strong technical lead ready to step into a TLM role will be considered.
0-to-1 experience with a bias towards shipping and learning while balancing a high-quality bar.
Experience collaborating in cross-functional teams, working through ambiguity to deliver high-quality results, and a proven ability to contribute to a positive, inclusive work environment that fosters knowledge sharing and growth.
Preferred
Experience in healthcare technology, or experience in the health domain.
Experience with data engineering – handling text dataset sourcing, curation and processing tasks at scale.
Experience translating cutting-edge research into shipped products in a fast-paced, startup-like environment.
Passionate about conversational AI and its deployment.
Demonstrated written and verbal communication skills, with the ability to work closely with cross-functional teams including product managers, designers and other engineers.
Passion for learning new technologies and staying up to date with industry trends, best practices and emerging patterns in AI.
Software Engineering IC5 – The typical base pay range for this role across United Kingdom is £ 93,500.00 – £ 161,800.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
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
Senior Software Engineer – Microsoft AI, Copilot
Principal Applied Scientist
Principal Applied Scientist
Member of Technical Staff – Applied AI Lead, Health
- Location
- Job Number
- City
- Team
- Country
- Discipline
At Microsoft AI, our Health team is on a mission to help millions of users better understand and proactively manage their health and wellbeing. We’re responsible for ensuring that Microsoft AI’s models and services are useful, trusted and safe across diverse customer health journeys.
What “Applied AI” means at Microsoft AI
We turn frontier models into products people can trust with their health. We build rigorous, health-specific evals and use them to drive real product decisions. We master orchestration, from harness and context engineering to blending different model classes and families and applying state-of-the-art techniques. And we bring deep, bleeding-edge AI expertise that uplevels the wider team and helps shape the product and engineering roadmap.
The role
We are looking for an Applied AI Lead to join our engineering team. This is a hands-on leadership role: you will set the technical direction for this work in the health domain, while growing and developing the engineers who build it. You will be predominantly focused on building Copilot Health, acting as a key bridge between the latest research and product and playing a pivotal role in establishing Copilot as the leader in safe, informative, trustworthy and useful health information.
You’ll bring very strong proficiency in designing, building and running LLM evaluations, and in LLM orchestration: building agentic, multi-step systems that combine prompting, tool use and retrieval to deliver reliable results in production.
Responsibilities
Lead the team
Lead, mentor and grow a team of Applied AI Engineers, fostering a collaborative, inclusive and high-performing environment where engineers do the best work of their careers.
Stay deeply hands-on. Set the technical bar through code and design reviews, lead by example on the hardest problems, and remain a credible technical authority on evals and LLM systems.
Co-own the roadmap. Partner with product leads to qualify and size new opportunities, co-author the product roadmap, and lead the architecture and development of new products and features from 0 to 1.
Own delivery. Plan and prioritise the team’s roadmap, balance a strong bias towards shipping and learning with a high-quality bar, and ensure the reliability of what reaches production.
Set the technical direction on evaluation and orchestration
Define the evaluation strategy. Design and oversee evaluation systems that test LLM capabilities in the health domain, including internal benchmarking and regression testing that capture model accuracy, safety and utility – and make sure results are interpreted and clearly communicated to stakeholders.
Architect LLM orchestration. Guide the design of agentic, multi-step systems that combine prompt / context engineering, tool use and retrieval, and champion best practices for building and deploying them reliably at scale.
Run and direct experiments to determine how different prompting and orchestration techniques affect results on internal and industry benchmarks, and turn those findings into product improvements.
Invest in tooling. Improve the internal tooling used to implement, run and analyse evaluations, and the data pipelines – dataset sourcing, curation and synthesis – that feed them.
Qualifications
Required
Bachelor’s or higher degree in Computer Science or a related technical discipline, AND significant Python programming experience / machine learning research.
Very strong proficiency with LLM evaluations – demonstrated experience designing, building and running eval pipelines, curating and synthesising datasets, designing automated analyses, and explaining results to internal stakeholders.
Very strong proficiency with LLM orchestration – deep, hands-on experience building with and around LLMs, including prompt / context engineering, tool use, harness engineering, retrieval and agentic, multi-step systems, and building tools to analyse and understand their performance.
Proven engineering leadership – 8+ years of software engineering experience, including at least 3 years leading technical teams or projects as a tech lead and/or people manager – mentoring and developing engineers, and guiding a group to deliver high-quality results. Formal people-management experience is preferred; a strong technical lead ready to step into a TLM role will be considered.
0-to-1 experience with a bias towards shipping and learning while balancing a high-quality bar.
Experience collaborating in cross-functional teams, working through ambiguity to deliver high-quality results, and a proven ability to contribute to a positive, inclusive work environment that fosters knowledge sharing and growth.
Preferred
Experience in healthcare technology, or experience in the health domain.
Experience with data engineering – handling text dataset sourcing, curation and processing tasks at scale.
Experience translating cutting-edge research into shipped products in a fast-paced, startup-like environment.
Passionate about conversational AI and its deployment.
Demonstrated written and verbal communication skills, with the ability to work closely with cross-functional teams including product managers, designers and other engineers.
Passion for learning new technologies and staying up to date with industry trends, best practices and emerging patterns in AI.
Software Engineering IC5 – The typical base pay range for this role across United Kingdom is £ 93,500.00 – £ 161,800.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
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
Senior Software Engineer – Microsoft AI, Copilot
Principal Applied Scientist
Principal Applied Scientist
Member of Technical Staff – Privacy Engineer, Health
- Location
- Job Number
- City
- Team
- Country
- Discipline
Overview
Microsoft AI (MAI) is building consumer health experiences – including Copilot Health – that bring trustworthy, AI-powered guidance to millions of people. Health information is among the most sensitive data anyone shares, and the trust people place in us depends on getting privacy, security, and regulatory compliance right from the very first line of code.
We are looking to hire our engineering team’s anchor for all things privacy, compliance, and regulatory. This is a senior individual-contributor role for a hands-on engineer who can set technical direction, build privacy-preserving systems, and serve as the trusted point of contact who keeps our products on the right side of a fast-evolving regulatory landscape. You will work at the intersection of privacy engineering, health technology, and applied AI – partnering closely with product, security, legal, and compliance to make privacy-by-design the default rather than an afterthought.
If you are energized by hard problems where protecting people and shipping great products are equally non-negotiable, this role offers outsized impact on how responsible AI in health is built.
Responsibilities
-
Be the primary point of contact for privacy, compliance, and regulatory matters within the engineering team – the person product and engineering turn to for guidance, design review, and decisions.
-
Ensure products such as Copilot Health are designed and built in a privacy-preserving way, embedding data minimization, purpose limitation, and privacy-by-design into architecture from the outset.
-
Translate complex health and data-protection regulations – including UK and EU GDPR, HIPAA, and the EU AI Act – into concrete technical requirements, engineering guardrails, and automated, continuously verifiable controls.
-
Lead privacy and security design reviews and threat modeling for new features and models, identifying risks early and architecting practical, scalable mitigations.
-
Design and build foundational privacy infrastructure: data classification, policy-driven access controls, consent and preference management, audit logging, data lineage, and retention and lifecycle controls.
-
Evaluate and apply privacy-enhancing technologies – such as differential privacy, de-identification, secure enclaves, and federated approaches – where they meaningfully reduce risk to users.
-
Build reusable libraries, patterns, and tooling that let every engineer ship privacy-preserving features by default, and raise the team’s privacy and compliance fluency through mentorship and clear standards.
-
Partner across legal, compliance, security, and product to balance strong user protections with product velocity, and to support audits, certifications, and regulator-facing evidence.
-
Stay ahead of emerging health-privacy regulation and industry practice, bringing that perspective into roadmaps before requirements become blockers.
Qualifications
Required qualifications
-
Extensive professional software engineering experience building and operating production systems at scale, with significant depth in privacy, security, or data protection.
-
Strong programming skills in at least one major language (e.g., C#, Python, Go, Java, or similar) and a track record of shipping reliable backend and infrastructure systems.
-
Demonstrated ability to translate privacy and regulatory requirements (such as GDPR or HIPAA) into technical designs and enforceable controls.
-
Hands-on command of privacy and security fundamentals: privacy-by-design, data minimization, access-control models (RBAC/ABAC), encryption, audit logging, and data lifecycle management.
-
Experience conducting privacy and security reviews, threat modeling, and risk assessments.
-
Excellent cross-functional communication – able to influence product, engineering, legal, and compliance stakeholders and explain trade-offs clearly.
-
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
Preferred qualifications
-
Experience in health technology (strongly preferred), or in another highly regulated industry such as financial services, government, or insurance (acceptable).
-
Familiarity with health-data standards and governance frameworks (e.g., HIPAA, HITRUST, ISO 27001/27701, NHS data governance, FHIR and clinical data handling).
-
Practical experience applying privacy-enhancing technologies – differential privacy, anonymization/de-identification, secure enclaves, or federated learning.
-
Experience with AI/ML systems and the privacy considerations of training and inference on sensitive data.
-
Experience with cloud platforms (Azure preferred) and large-scale data systems.
-
Relevant certifications such as CIPP/E or CIPT.
Software Engineering IC5 – The typical base pay range for this role across United Kingdom is £ 93,500.00 – £ 161,800.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
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
Senior Software Engineer – Microsoft AI, Copilot
Principal Applied Scientist
Principal Applied Scientist
Principal 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 user and business value across various products and marketplace components.
- Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.
- Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
- Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
- Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
- Make independent decisions for the team and handle difficult tradeoffs
- Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.
Qualifications
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
Preferred Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++.
- Great organizational, analytical, data science skills and intuition .
- Fantastic problem solver: ability to solve problems that the world has not solved before.
- Interpersonal skills: cross-group and cross-culture collaboration.
- Experience with real world system building and data collection, including design, coding and evaluation .
- Excellent communication to be able to communicate insights to senior leaders.
- Experience with driving large collaboration across multiple teams.
- Experience with communicating with different audiences to provide insights
- Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.
#MicrosoftAI
Data Science IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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
Senior Software Engineer – Microsoft AI, Copilot
Principal Applied Scientist
Principal Applied Scientist
Principal 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 user and business value across various products and marketplace components.
- Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.
- Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
- Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
- Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
- Make independent decisions for the team and handle difficult tradeoffs
- Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.
Qualifications
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
Preferred Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++.
- Great organizational, analytical, data science skills and intuition .
- Fantastic problem solver: ability to solve problems that the world has not solved before.
- Interpersonal skills: cross-group and cross-culture collaboration.
- Experience with real world system building and data collection, including design, coding and evaluation .
- Excellent communication to be able to communicate insights to senior leaders.
- Experience with driving large collaboration across multiple teams.
- Experience with communicating with different audiences to provide insights
- Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.
#MicrosoftAI
Data Science IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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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Principal Applied Scientist – Auction & Bidding
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The Ads Monetization Algo team at Microsoft Advertising focuses on optimizing ad performance for all advertisers in our ecosystem by bidding on their behalf in real-time auctions across our marketplaces. We are also responsible for designing and optimizing the auctions for the long term. All of these works are done through algorithm development, optimization, and experimental analysis of advertiser strategies and auction mechanisms. In our team, applied scientists work together and utilize all sorts of platforms, techniques, and approaches, including but not limited to mathematical modeling and optimization, machine learning, optimal control, game theory, and general economics and operations research. We build and develop both online stacks as well as offline workflows to support our algorithms. At its core, our team utilizes signals of user and advertiser intent as well as auction characteristics to determine in real-time or near-real-time which ads can enter the auctions. Our work directly impacts 10+ billion dollars in revenue annually.
We are looking for a highly skilled applied scientist with development and management skills and a background in quantitative fields such as statistical machine learning, decision theory, operations research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design, and optimal control. They will play a key role in driving algorithmic improvements to online and offline systems, developing and delivering robust and scalable solutions, making direct impacts on advertisers’ experience and the ad marketplace’s long-term health to collectively and continually increase the revenue for Microsoft Advertising.
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
- Designing, implementing, and analyzing bidding strategies using techniques from optimization, control theory.
- Designing, prototyping, and analyzing different auction mechanisms given specific product area.
- Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.
- Designing automation algorithms for advertisers using techniques from AI and ML to improve advertisers’ return on investment.
- Implementing methods for optimizing the marketplace at the large scale.
- Developing models for causal reasoning using techniques from AI, ML, and statistics.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
Preferred Qualifications:
- Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 8+ years of experience developing and deploying live production systems, as part of a product team.
- 3 Years of experience in Auto-Bidding or Auction Design.
#MicrosoftAI
Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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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Principal Applied Scientist – Auction & Bidding
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The Ads Monetization Algo team at Microsoft Advertising focuses on optimizing ad performance for all advertisers in our ecosystem by bidding on their behalf in real-time auctions across our marketplaces. We are also responsible for designing and optimizing the auctions for the long term. All of these works are done through algorithm development, optimization, and experimental analysis of advertiser strategies and auction mechanisms. In our team, applied scientists work together and utilize all sorts of platforms, techniques, and approaches, including but not limited to mathematical modeling and optimization, machine learning, optimal control, game theory, and general economics and operations research. We build and develop both online stacks as well as offline workflows to support our algorithms. At its core, our team utilizes signals of user and advertiser intent as well as auction characteristics to determine in real-time or near-real-time which ads can enter the auctions. Our work directly impacts 10+ billion dollars in revenue annually.
We are looking for a highly skilled applied scientist with development and management skills and a background in quantitative fields such as statistical machine learning, decision theory, operations research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design, and optimal control. They will play a key role in driving algorithmic improvements to online and offline systems, developing and delivering robust and scalable solutions, making direct impacts on advertisers’ experience and the ad marketplace’s long-term health to collectively and continually increase the revenue for Microsoft Advertising.
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
- Designing, implementing, and analyzing bidding strategies using techniques from optimization, control theory.
- Designing, prototyping, and analyzing different auction mechanisms given specific product area.
- Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.
- Designing automation algorithms for advertisers using techniques from AI and ML to improve advertisers’ return on investment.
- Implementing methods for optimizing the marketplace at the large scale.
- Developing models for causal reasoning using techniques from AI, ML, and statistics.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
Preferred Qualifications:
- Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 8+ years of experience developing and deploying live production systems, as part of a product team.
- 3 Years of experience in Auto-Bidding or Auction Design.
#MicrosoftAI
Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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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Microsoft Advertising empowers the world’s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. The User Identity Graph plays a critical role in connecting requests from multiple platforms and devices to the same user, powering all MAI surfaces including Copilot while driving measurable impact in ad personalization, audience targeting, measurement, and richer user insights across MAI. The Ads Data Management Platform team is seeking a highly skilled and experienced Applied Scientist to join our dynamic team to build a new modernized User Identity Graph and measure the graph quality.
As an Applied Scientist in the team, you will be a founding contributors in developing and deploying a new modernized User Identity Graph with measurable quality metrics, designing rigorous online and offline experimentation frameworks, work in a cross-functional set-up to amplify graph usage, and translating complex data into actionable insights that drive business impact.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Collaborate with ad personalization, ad/conversion measurement, and audience targeting teams to incorporate their requirements into graph design and serving.
Serve as a founding contributor by analyzing existing graphs to identify opportunities, then creating, deploying, and evaluating a modernized User Identity Graph powered by production ML models.
Design rigorous experiments and apply appropriate analytical methods to evaluate iterations of the User Identity Graph.
Review business requirements, define metrics aligned to business goals, and partner with engineering team to build the supporting data flows and dashboards.
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:
- Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 3+ years experience conducting research as part of a research program (in academic or industry settings).
- 1+ year(s) experience developing and deploying live production systems, as part of a product team.
- 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
- Experience with developing graph based identity models to perform cross device user stitching, applying deterministic and probabilistic matching algorithms to construct large-scale identity graphs.
#MicrosoftAI
Applied Sciences 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 $160,200 – $261,000 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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