Senior Applied Scientist
- Location
- Job Number
- City
- Team
- Country
- Discipline
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.
Similar jobs
Senior Software Engineer – Microsoft AI, Copilot
Principal Applied Scientist
Principal Applied Scientist
Senior Applied Scientist
- Location
- Job Number
- City
- Team
- Country
- Discipline
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.
Similar jobs
Senior Software Engineer – Microsoft AI, Copilot
Principal Applied Scientist
Principal Applied Scientist
Member of Futures Team (Frontier Risk & Alignment)
- Location
- Job Number
- City
- Team
- Country
- Discipline
At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. Our vision is to pursue humanist superintelligence, that is designed to remain controllable, aligned, and firmly in service to humanity.
The MAI Futures team is hiring a Member of the Futures Team (Frontier Risk & Alignment) to help shape and realize that vision. The team researches, informs and prepares Microsoft AI and the broader ecosystem for the future of AI and society.
Reporting into the Frontier Risk & Alignment sub-team, you will lead research that anticipates risks of advanced AI systems, translate it into publications, and inform Microsoft’s technical and operational workstreams. The topics addressed by the team include superintelligence preparedness, multi-agent safety, traditional frontier risk vectors, research underpinning humanist AI model alignment and more.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Identify the most pressing open research questions in frontier risk and alignment, and lead world-class, time-sensitive research with direct industry relevance.
Produce high-quality deliverables including papers, whitepapers, internal memos, blog posts, and briefings that address frontier safety, alignment, and normative model behaviour.
Define normative alignment positions, contributing to value alignment approaches and providing philosophical grounding for frontier model behaviour.
Inform applied safety and governance, including technical evaluation and mitigation efforts, Microsoft’s Frontier Governance Framework, model release readiness, and day-to-day governance.
Collaborate across Microsoft with partner teams spanning technical model teams, Responsible AI, Public Policy, red teaming, and security.
Build and steward a network of external research partners, and represent MSI in key frontier risk forums and conferences.
Embody our culture and values.
Qualifications
Doctoral degree in a related field, OR another advanced degree with equivalent research experience.
Research experience in one or more of:
Frontier AI safety or governance;
Agentic AI safety, collaboration, or societal implications;
Alignment;
Philosophical and ethical aspects of AI;
Institutional preparedness for advanced AI.
Deep expertise in frontier risk vectors, frameworks, regulation, or evaluation and mitigation pathways.
Track record of writing and thought leadership across formats, including academic papers, books or chapters, journalism, or other public-facing work on AI and society.
Sufficient technical understanding of AI, and a proven ability to collaborate with technical stakeholders, anticipate risks grounded in technical developments, and inform mitigation efforts.
Strong verbal and written communication skills.
Additional or Preferred Qualifications (PQs)
Peer-reviewed publications in leading venues.
Experience with frontier safety governance or research in leading labs, think tanks, or academic institutions.
Applied experience developing or informing alignment frameworks, model specs, novel evaluations, or technical mitigations.
Research spanning both empirical and conceptual work on the future impact of AI.
Technical Program Management IC4 – The typical base pay range for this role across United Kingdom is £ 74,700.00 – £ 122,600.00 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 Futures Team (Frontier Risk & Alignment)
- Location
- Job Number
- City
- Team
- Country
- Discipline
At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. Our vision is to pursue humanist superintelligence, that is designed to remain controllable, aligned, and firmly in service to humanity.
The MAI Futures team is hiring a Member of the Futures Team (Frontier Risk & Alignment) to help shape and realize that vision. The team researches, informs and prepares Microsoft AI and the broader ecosystem for the future of AI and society.
Reporting into the Frontier Risk & Alignment sub-team, you will lead research that anticipates risks of advanced AI systems, translate it into publications, and inform Microsoft’s technical and operational workstreams. The topics addressed by the team include superintelligence preparedness, multi-agent safety, traditional frontier risk vectors, research underpinning humanist AI model alignment and more.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Identify the most pressing open research questions in frontier risk and alignment, and lead world-class, time-sensitive research with direct industry relevance.
Produce high-quality deliverables including papers, whitepapers, internal memos, blog posts, and briefings that address frontier safety, alignment, and normative model behaviour.
Define normative alignment positions, contributing to value alignment approaches and providing philosophical grounding for frontier model behaviour.
Inform applied safety and governance, including technical evaluation and mitigation efforts, Microsoft’s Frontier Governance Framework, model release readiness, and day-to-day governance.
Collaborate across Microsoft with partner teams spanning technical model teams, Responsible AI, Public Policy, red teaming, and security.
Build and steward a network of external research partners, and represent MSI in key frontier risk forums and conferences.
Embody our culture and values.
Qualifications
Doctoral degree in a related field, OR another advanced degree with equivalent research experience.
Research experience in one or more of:
Frontier AI safety or governance;
Agentic AI safety, collaboration, or societal implications;
Alignment;
Philosophical and ethical aspects of AI;
Institutional preparedness for advanced AI.
Deep expertise in frontier risk vectors, frameworks, regulation, or evaluation and mitigation pathways.
Track record of writing and thought leadership across formats, including academic papers, books or chapters, journalism, or other public-facing work on AI and society.
Sufficient technical understanding of AI, and a proven ability to collaborate with technical stakeholders, anticipate risks grounded in technical developments, and inform mitigation efforts.
Strong verbal and written communication skills.
Additional or Preferred Qualifications (PQs)
Peer-reviewed publications in leading venues.
Experience with frontier safety governance or research in leading labs, think tanks, or academic institutions.
Applied experience developing or informing alignment frameworks, model specs, novel evaluations, or technical mitigations.
Research spanning both empirical and conceptual work on the future impact of AI.
Technical Program Management 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
Technical Program Management 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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Senior Software Engineer – Microsoft AI, Copilot
Principal Applied Scientist
Principal Applied Scientist
The Microsoft AI Web Data team is looking for a highly qualified Principal Applied Scientist to help build the next-generation platform for Bing and Microsoft AI.
The Microsoft AI Web Data Platform (WDP) team builds the data foundation that powers Bing and Microsoft AI experiences, including large-scale grounding and large language model (LLM) training. We operate end-to-end systems that discover, fetch, process, understanding and store web content at internet scale. We advance the platform’s capabilities with state-of-the-art modeling and fueling critical Microsoft experiences and pushing the frontier of AI.
This is a great opportunity for someone who enjoys tackling deep technical challenges and driving industry-wide impact. In this role, you will translate research into production by advancing the state of the art and applying it to meet today’s AI needs. You will drive the design, development, execution, and implementation of research projects, using scientific principles and techniques to develop, evaluate, and deploy algorithms and solutions that improve system performance, quality, data management, and accuracy.
Join us to shape the future of AI and deliver meaningful value to millions of users.
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 deep expertise across a broad research area and relevant techniques; stay current on industry trends and advances; and apply these insights to shape product and platform direction.
- Partner with stakeholders to understand business and product requirements; incorporate research insights; and provide strategic technical direction for problem solving with solid scientific rigor and measurable business impact.
- Mentor and inspire peers and new research talent; build relationships and advocate for research initiatives; share results through industry outreach; collaborate with academia; and strengthen the recruiting pipeline.
- Document experiments and outcomes; communicate learnings to accelerate innovation; and help define best practices, including ethics and privacy considerations for research processes and data collection.
- Guide and mentor junior team members in developing new technologies that translate into production-ready solutions.
- Work closely with partner teams across Microsoft AI to understand shared needs and build a technical roadmap to address them.
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.
- 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
- 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
- 5+ years experience conducting research as part of a research program (in academic or industry settings).
- 3+ years experience developing and deploying live production systems, as part of a product team.
- 3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
- 8+ years of experience in product development in machine learning and related areas.
- Hands-on experience developing algorithms and models using deep learning frameworks such as TensorFlow and PyTorch.
- Active research in at least one of the following areas: LLM training, artificial intelligence, data science, information retrieval, machine learning, or natural language processing.
- Demonstrated excellence in communication and cross-team collaboration.
- Ability to think big while delivering measurable real-world impact through design and development.
- Solid understanding of web documents and web data processing and understanding concepts, methods, applications, and challenges.
- Experience with Big Data (Spark, Mapreduce, Cosmos, etc.) and NRT systems
- Experience with Search or recommendations.
#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
Applied Sciences IC6 – The typical base pay range for this role across the U.S. is USD $165,600 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Similar jobs
Senior Software Engineer – Microsoft AI, Copilot
Principal Applied Scientist
Principal Applied Scientist
Senior Software Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
Microsoft Ads 3rd Party Ads Solutions and Data Management Platforms is building the next innovative platform for AI-driven advertising. Our team empowers internal engineering teams through secure, scalable, and cost-effective on-prem and cloud infrastructure solutions. We are looking for a Senior Software Engineer who will help us maintain and evolve foundational Kubernetes and Azure platform capabilities that enable the Xandr on-prem to Azure migration to complete on time and ensure the resulting platform is stable, secure, and maintainable over the long term.
As part of the Platform Engineering team, you will partner with engineering teams, architects, and product groups to design, implement, and evangelize cloud and Kubernetes platform best practices, all while staying curious and open to trying new ideas.
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
- Leads Infrastructure Design and Architecture: Analyze and understand challenges in on-prem and Azure platform and infrastructure solutions. Develop and build durable solutions for present and future states. Own the technical approach to create and improve architecture. Deeply understand evolving security risk, security research, and security tradeoffs associated with engineering patterns and approaches.
- Guide cross-functional teams through architectural discussions and decision-making for solution components, including design, compliance, scaling, and cost considerations.
- Develop and present architecture and design proposals: lead the testing and validation of hypotheses and proposed solutions.
- Drive AKS enablement and workload onboarding: Support engineering teams transitioning to AKS by driving standardized onboarding tools, pipelines, Terraform modules, runbooks, and migration guides, and providing hands-on guidance.
- Drive cross-cutting platform initiatives: Partner across teams to enable testing, workload certification, and migration programs and unblock adoption at scale.
- Author Well-Designed, Scalable, Reliable Code: Author thoughtful, well-designed infrastructure code, including libraries for essential platform functions, proof-of-concept code, and bugs or foundational changes. Effectively share findings from technical investigations.
- Collaborate with Partner Teams: Collaborate with the broader product engineering and product teams to understand product and platform architecture and develop thoughtful infrastructure improvements.
- Lead the creation of design documentation: determine appropriate technologies and their interactions. Facilitate and contribute to design discussions, ensuring alignment across teams and incorporating learnings from prior work.
- Nurture Talent: Mentor other engineers throughout the design and testing process.
- Embody our culture and values.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Preferred Qualifications:
- Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 4+ years of experience designing, building, and operating developer productivity, CI/CD, or release engineering systems, including significant experience with Microsoft Azure (or AWS/GCP with strong Azure proficiency) and Infrastructure as Code such as Terraform or Bicep.
- Strong proficiency in modern CI/CD and release engineering practices, including building, operating, and evolving pipelines using tools such as Azure DevOps Pipelines (strongly preferred), Jenkins, Concourse, GitHub Actions, CircleCI, Spinnaker, or ArgoCD. Experience owning and supporting CI/CD pipelines used by multiple engineering teams, providing shared templates, guardrails, security, and reliability at scale.
- Experience operating large-scale, globally distributed, highly available, 24/7 systems, with a focus on release reliability, security, and operational excellence.
- Proficiency in modern software development practices, including code review, testing, release validation, and operational readiness, using languages such as Go, Python, or TypeScript.
- Demonstrated ability to drive architectural direction across teams, influence technical decisions around build and release systems, and translate ambiguous requirements into scalable, durable release platforms.
- Excellent written and verbal communication skills, including the ability to explain complex release, reliability, and automation concepts to diverse audiences.
- Hands-on experience designing and maintaining shared infrastructure and tooling ecosystems, such as reusable Terraform modules, pipeline templates, and onboarding toolchains that improve developer velocity, experience, consistency, and security across teams.
#MicrosoftAI
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $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.
Similar jobs
Senior Software Engineer – Microsoft AI, Copilot
Principal Applied Scientist
Principal Applied Scientist
Senior Software Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
Microsoft Ads 3rd Party Ads Solutions and Data Management Platforms is building the next innovative platform for AI-driven advertising. Our team empowers internal engineering teams through secure, scalable, and cost-effective on-prem and cloud infrastructure solutions. We are looking for a Senior Software Engineer who will help us maintain and evolve foundational Kubernetes and Azure platform capabilities that enable the Xandr on-prem to Azure migration to complete on time and ensure the resulting platform is stable, secure, and maintainable over the long term.
As part of the Platform Engineering team, you will partner with engineering teams, architects, and product groups to design, implement, and evangelize cloud and Kubernetes platform best practices, all while staying curious and open to trying new ideas.
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
- Leads Infrastructure Design and Architecture: Analyze and understand challenges in on-prem and Azure platform and infrastructure solutions. Develop and build durable solutions for present and future states. Own the technical approach to create and improve architecture. Deeply understand evolving security risk, security research, and security tradeoffs associated with engineering patterns and approaches.
- Guide cross-functional teams through architectural discussions and decision-making for solution components, including design, compliance, scaling, and cost considerations.
- Develop and present architecture and design proposals: lead the testing and validation of hypotheses and proposed solutions.
- Drive AKS enablement and workload onboarding: Support engineering teams transitioning to AKS by driving standardized onboarding tools, pipelines, Terraform modules, runbooks, and migration guides, and providing hands-on guidance.
- Drive cross-cutting platform initiatives: Partner across teams to enable testing, workload certification, and migration programs and unblock adoption at scale.
- Author Well-Designed, Scalable, Reliable Code: Author thoughtful, well-designed infrastructure code, including libraries for essential platform functions, proof-of-concept code, and bugs or foundational changes. Effectively share findings from technical investigations.
- Collaborate with Partner Teams: Collaborate with the broader product engineering and product teams to understand product and platform architecture and develop thoughtful infrastructure improvements.
- Lead the creation of design documentation: determine appropriate technologies and their interactions. Facilitate and contribute to design discussions, ensuring alignment across teams and incorporating learnings from prior work.
- Nurture Talent: Mentor other engineers throughout the design and testing process.
- Embody our culture and values.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Preferred Qualifications:
- Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 4+ years of experience designing, building, and operating developer productivity, CI/CD, or release engineering systems, including significant experience with Microsoft Azure (or AWS/GCP with strong Azure proficiency) and Infrastructure as Code such as Terraform or Bicep.
- Strong proficiency in modern CI/CD and release engineering practices, including building, operating, and evolving pipelines using tools such as Azure DevOps Pipelines (strongly preferred), Jenkins, Concourse, GitHub Actions, CircleCI, Spinnaker, or ArgoCD. Experience owning and supporting CI/CD pipelines used by multiple engineering teams, providing shared templates, guardrails, security, and reliability at scale.
- Experience operating large-scale, globally distributed, highly available, 24/7 systems, with a focus on release reliability, security, and operational excellence.
- Proficiency in modern software development practices, including code review, testing, release validation, and operational readiness, using languages such as Go, Python, or TypeScript.
- Demonstrated ability to drive architectural direction across teams, influence technical decisions around build and release systems, and translate ambiguous requirements into scalable, durable release platforms.
- Excellent written and verbal communication skills, including the ability to explain complex release, reliability, and automation concepts to diverse audiences.
- Hands-on experience designing and maintaining shared infrastructure and tooling ecosystems, such as reusable Terraform modules, pipeline templates, and onboarding toolchains that improve developer velocity, experience, consistency, and security across teams.
#MicrosoftAI
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $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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Senior Software Engineer – Microsoft AI, Copilot
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Principal Applied Scientist
Senior Software Engineer
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- Job Number
- City
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Join Microsoft’s Ads SDKs team and help shape the future of digital advertising at global scale. We operate in one of the fastest-growing areas of the industry, building high-performance advertising SDKs and platform capabilities that enable monetization across diverse applications and environments.
We’re innovating rapidly – solving hard problems in SDK design, reliability, performance, and observability to deliver best-in-class tools for developers and partners. You’ll work on systems that matter, collaborate across engineering and product teams, and see your work directly influence business growth.
Be part of this exciting journey with Microsoft’s Ads SDKs team and make a lasting impact on the future of digital 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
- Lead the design, architecture, and development of key components of the Windows Ads SDK, making informed design decisions that balance performance, scalability, reliability, and maintainability.
- Build and enhance CI/CD pipelines, test infrastructure, and automation to enable reliable, high-quality, and frequent releases, including validation in non-production environments.
- Design and implement features and enhancements that improve the ad delivery experience on Windows platforms while meeting Microsoft standards for security, privacy, accessibility, and compliance.
- Collaborate with architects and cross-functional engineering teams to evaluate design options, document tradeoffs, and evolve solutions that integrate cleanly with existing systems.
- Drive data-informed feature rollouts, leveraging telemetry and experimentation to monitor feature health, system performance, and customer impact.
- Participate in and influence design and code reviews, applying secure design principles, sharing best practices, and contributing to a culture of engineering excellence.
- Work closely with partner teams to ensure end-to-end readiness, including integration testing, live-site coverage, clear ownership, and defined escalation paths prior to production releases.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 6+ years of professional software engineering experience building, shipping, and maintaining production-grade software systems.
- 4+ years of hands-on experience with C++, C#, .NET, and Windows development frameworks such as Win32 API, WinUI3 and/or UWP, along with working knowledge of JavaScript.
- Experience designing and optimizing software for performance, reliability, and efficient resource utilization across diverse runtime environments and deployment scenarios.
- Experience building or integrating systems in cloud-based environments, including telemetry, monitoring, CI/CD pipelines, or backend service interactions.
- Ability to work effectively across multiple domains, technologies, and ambiguous problem spaces, adapting quickly to evolving requirements.
- Familiarity with advertising technology concepts such as SDK development, ad delivery pipelines, telemetry, experimentation, or monetization platforms is a strong plus.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $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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Senior Software Engineer – Microsoft AI, Copilot
Principal Applied Scientist
Principal Applied Scientist
Senior Software Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
Join Microsoft’s Ads SDKs team and help shape the future of digital advertising at global scale. We operate in one of the fastest-growing areas of the industry, building high-performance advertising SDKs and platform capabilities that enable monetization across diverse applications and environments.
We’re innovating rapidly – solving hard problems in SDK design, reliability, performance, and observability to deliver best-in-class tools for developers and partners. You’ll work on systems that matter, collaborate across engineering and product teams, and see your work directly influence business growth.
Be part of this exciting journey with Microsoft’s Ads SDKs team and make a lasting impact on the future of digital 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
- Lead the design, architecture, and development of key components of the Windows Ads SDK, making informed design decisions that balance performance, scalability, reliability, and maintainability.
- Build and enhance CI/CD pipelines, test infrastructure, and automation to enable reliable, high-quality, and frequent releases, including validation in non-production environments.
- Design and implement features and enhancements that improve the ad delivery experience on Windows platforms while meeting Microsoft standards for security, privacy, accessibility, and compliance.
- Collaborate with architects and cross-functional engineering teams to evaluate design options, document tradeoffs, and evolve solutions that integrate cleanly with existing systems.
- Drive data-informed feature rollouts, leveraging telemetry and experimentation to monitor feature health, system performance, and customer impact.
- Participate in and influence design and code reviews, applying secure design principles, sharing best practices, and contributing to a culture of engineering excellence.
- Work closely with partner teams to ensure end-to-end readiness, including integration testing, live-site coverage, clear ownership, and defined escalation paths prior to production releases.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications:
- Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 6+ years of professional software engineering experience building, shipping, and maintaining production-grade software systems.
- 4+ years of hands-on experience with C++, C#, .NET, and Windows development frameworks such as Win32 API, WinUI3 and/or UWP, along with working knowledge of JavaScript.
- Experience designing and optimizing software for performance, reliability, and efficient resource utilization across diverse runtime environments and deployment scenarios.
- Experience building or integrating systems in cloud-based environments, including telemetry, monitoring, CI/CD pipelines, or backend service interactions.
- Ability to work effectively across multiple domains, technologies, and ambiguous problem spaces, adapting quickly to evolving requirements.
- Familiarity with advertising technology concepts such as SDK development, ad delivery pipelines, telemetry, experimentation, or monetization platforms is a strong plus.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $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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Principal Applied Scientist
Software Engineer II
- Location
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- Discipline
The Microsoft AI – Bing Places Data team is seeking a passionate engineer to accelerate the adoption of Location, Places and POI data for Copilot and Bing Search experiences. Our team is uniquely positioned to provide rich entity data to experiences across the Bing Search and Copilot space, driving the growth of Generative AI and Agents building the best experiences for our customers.
We seek a MAI – Search Places – Software Engineer II with a solid passion for technology, intellectual curiosity, and a willingness to learn and share. This opportunity allows you to make a broad positive impact using a range of software tools and services, including large-scale interactive data analytics, scalable map-reduce compute, machine learning and AI, LLM models, service and data engineering, security, compliance, and service management. We develop processes to extract and create rich content from hundreds of millions of location entities globally utilizing a variety of signals and algorithms from web scraping to trusted partners.
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
- Understand User Requirements – Collaborate with product managers and technical leads to clarify requirements and incorporate continuous feedback loops.
- Design and Architecture – Contribute to solution architecture, create design documents, and ensure alignment with security, privacy, and compliance requirements.
- Coding and Code Quality – Implement maintainable, extensible code and participate in reviews that uphold Microsoft engineering standards.
- Testing and Automation – Develop and refine test plans, integrate automation, and ensure robust test coverage for backend services.
- Engineering Excellence – Integrate telemetry, improve tools and processes, and maintain compliance with reliability, accessibility, and regulatory expectations.
- Design secure, reliable, and sustainable software that is resilient to change.
- Develop, validate, release, and derive insights from software that enhances our customers experiences.
- Champion customer-first design leads to increased loyalty to Copilot, Search and our Partners across various organizations.
- Demonstrate partnership, accountability, clarity in communication and technical depth while delivering results.
- Apply critical analyses to data to validate hypotheses and inform decisions.
- Foster an inclusive environment that welcomes diverse perspectives, and in turn leverages that diversity to create more inclusive products for our customers.
- Work with appropriate stakeholders to determine user requirements for a set of features.
- Contribute to the identification of dependencies, and the development of design documents for a product area.
- Creates and implements code for a product, service, or feature, reusing code as applicable.
- Contributes to efforts to break down larger work items into smaller work items and provides estimation.
- Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
- Model a growth mindset by learning from others and sharing your learnings with others.
- Embody our Culture and Values
Qualifications
Required:
- Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python.
- OR equivalent experience.
Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred:
- Master’s Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python
- OR Bachelor’s Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python.
- OR equivalent experience.
- 2+ years of hands-on software design and coding experience.
- 2+ years of strong background in software development and system design.
- 2+ years of strong problem-solving design, implementation, and communication skills.
- Experience in AI/ML frameworks such as PyTorch or TensorFlow and practical experience applying Data Science techniques.
- Experience in big data systems such as Spark/PySpark or Stream Processing Systems.
- Experience with cloud services.
- Ability to debug complex issues across client and server layers.
- Proven skills in software system design and architecture.
#MicrosoftAI
#Search
Software Engineering IC3 – The typical base pay range for this role across the U.S. is USD $102,100 – $202,200 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 $133,800 – $219,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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Senior Software Engineer – Microsoft AI, Copilot
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