Join the Copilot Team and be at the forefront of AI-powered innovation. We are redefining the future of intelligent solutions, creating seamless connections across Windows, M365, and Azure. Our mission is to empower every person and organization on the planet to achieve more. We embrace a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Our values of respect, integrity, and accountability drive our inclusive culture where everyone can thrive. #CopilotTeam

Key Responsibilities 

• As a key member of the Copilot Team, you will bring your unique perspectives and expertise to drive innovative features and deliver transformative AI-powered experiences:
• This is an IC role with over 70% of your time dedicated to coding and engineering design.
• Manage complex projects from conception to implementation, focusing on AI-driven user interfaces and performance-optimized applications.
• Coordinate technical delivery through sprints, fostering collaboration throughout the project lifecycle.
• Collaborate across geographies and time zones to establish best practices and develop automated processes that mitigate development risks.Investigate and debug complex performance issues in applications, ensuring optimal user experience and system efficiency.
• Design and implement performance testing strategies to proactively address bottlenecks.Work closely with Product Designers, Product Managers, and Engineers to deliver AI-enhanced products that delight users.
• Drive team-wide investments in infrastructure and foundational systems to support long-term technical roadmaps.Solve technical challenges to deliver outstanding outcomes for customers and the business.

Interpersonal Skills

• Ability to lead and inspire a team, fostering a positive and productive work environment.
• A growth mindset, embracing challenges, learning from setbacks, and openness to feedback.
• Exceptional communication skills, able to articulate complex technical concepts to varied audiences.
• Confident in expressing ideas to diverse stakeholders with differing perspectives and challenges.
• A strong sense of ownership and accountability, capable of managing stakeholder expectations and meeting deadlines.
• Self-motivated and driven to collaborate across teams and organizations for collective success. 

We are looking for someone with the following attributes:

• Bachelor’s/Master’s degree in computer science or a related technical field.
• 10+ years of technical engineering experience with coding in various languages.
• Proven experience in leading technical teams and making critical architectural decisions.
• Excellent communication skills for collaboration across diverse teams and geographies.
• Demonstrated ability to innovate and stay ahead of industry trends.
• Proven ability to build and maintain cross-functional relationships across teams.Strong problem-solving skills, teamwork, and a passion for delivering exceptional user experiences.
• Solid English verbal and written communication skills.Familiarity with Agile and iterative development processes.

Preferred Qualifications 
Candidates with the following experiences will be highly regarded:

• Expertise in AI technologies applied in software engineering.

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.

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.

• 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.  

Required Qualifications:

• 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.

Preferred Qualifications:

• 4+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.
• 3+ years’ experience in OSS data technology, such as Kafka, Spark, Flink.
• 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

Software Engineering 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.

The Bing Places team is building intelligence that powers local search experiences used by millions of people every day. We are looking for Applied Scientists to help design, build, and ship advanced AI and machine learning solutions—spanning large language models (LLMs), retrieval augmented generation (RAG), learning‑to‑ranking, and entity understanding—to deliver high‑quality, trustworthy local search experiences at scale.

As an Applied Scientist on Bing Places,

• You will work on challenging problems that require deep technical expertise and a strong focus on real‑world impact.
• You will work end‑to‑end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting.
• You will collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents

• Formulate complex product and engineering problems as machine learning and AI tasks, and drive them from concept through production
• Design, implement, and evaluate ML‑ and LLM‑based models that improve Bing Places quality, relevance, and coverage
• Conduct rigorous data analysis to understand system behavior, identify opportunities, and define success metrics
• Prototype new modeling approaches and iterate quickly based on offline evaluation and online experimentation
• Own experimentation pipelines, including offline validation and large‑scale online A/B flighting
• Partner closely with engineers to integrate models into production systems and ensure long‑term reliability and performance
• Drive technical direction within your problem space and influence broader modeling and platform decisions
• Document and communicate results through technical design reviews, papers, and patent filings

Preferred Qualifications: 

• Master’s degree or PhD in a relevant technical field
• 4+ years of experience applying AI solutions or LLMs to real‑world systems (RAG, ranking, classification, reasoning)
• Proven expertise in machine learning, statistical methods, and data‑driven problem solving
• Hands‑on experience developing and evaluating models on large‑scale, real‑world datasets
• Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar)
• Understanding of experimentation methodologies, including offline metrics and online A/B testing
• Ability to independently scope problems and deliver high‑quality solutions in ambiguous environments
• Strong collaboration skills and experience working with engineering and product partners
• Ability to clearly communicate technical concepts and trade‑offs to both technical and non‑technical audiences

• Background in search, information retrieval, knowledge graphs, or local/entity understanding
• Track record of publications or granted/pending patents
• Familiarity with distributed training, model optimization, and production ML infrastructure
• Comfort operating across the full lifecycle—from research and prototyping to production and live operations

Applied Sciences 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.

The Bing Places team is building intelligence that powers local search experiences used by millions of people every day. We are looking for Applied Scientists to help design, build, and ship advanced AI and machine learning solutions—spanning large language models (LLMs), retrieval augmented generation (RAG), learning‑to‑ranking, and entity understanding—to deliver high‑quality, trustworthy local search experiences at scale.

As an Applied Scientist on Bing Places,

• You will work on challenging problems that require deep technical expertise and a strong focus on real‑world impact.
• You will work end‑to‑end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting.
• You will collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents

• Formulate complex product and engineering problems as machine learning and AI tasks, and drive them from concept through production
• Design, implement, and evaluate ML‑ and LLM‑based models that improve Bing Places quality, relevance, and coverage
• Conduct rigorous data analysis to understand system behavior, identify opportunities, and define success metrics
• Prototype new modeling approaches and iterate quickly based on offline evaluation and online experimentation
• Own experimentation pipelines, including offline validation and large‑scale online A/B flighting
• Partner closely with engineers to integrate models into production systems and ensure long‑term reliability and performance
• Drive technical direction within your problem space and influence broader modeling and platform decisions
• Document and communicate results through technical design reviews, papers, and patent filings

Preferred Qualifications: 

• Master’s degree or PhD in a relevant technical field
• 4+ years of experience applying AI solutions or LLMs to real‑world systems (RAG, ranking, classification, reasoning)
• Proven expertise in machine learning, statistical methods, and data‑driven problem solving
• Hands‑on experience developing and evaluating models on large‑scale, real‑world datasets
• Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar)
• Understanding of experimentation methodologies, including offline metrics and online A/B testing
• Ability to independently scope problems and deliver high‑quality solutions in ambiguous environments
• Strong collaboration skills and experience working with engineering and product partners
• Ability to clearly communicate technical concepts and trade‑offs to both technical and non‑technical audiences

• Background in search, information retrieval, knowledge graphs, or local/entity understanding
• Track record of publications or granted/pending patents
• Familiarity with distributed training, model optimization, and production ML infrastructure
• Comfort operating across the full lifecycle—from research and prototyping to production and live operations

Applied Sciences 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.

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.We’re assembling a world-class team of builders with backgrounds in healthcare, big tech, and frontier AI research labs. Our goal is to translate cutting-edge research—like MAI-DxO (microsoft.ai/new/the-path-to-medical-superintelligence)—into transformative products for millions of users across copilot.com and Microsoft’s consumer ecosystem.
We’re looking for engineers who are self-starters, care deeply about user experience, and take pride in solving real customer needs. You’ll collaborate in a fast-paced, iterative environment to bring innovative technology to life, with safety, reliability, and scale front and centre.
We’re hiring across multiple domains: backend, web, mobile, and GenAI. If you have a strong technical spike in one or more of these areas and a proven track record of crafting high-impact user experiences, we’d love to hear from you.
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.

• Collaborate with AI researchers, product managers, and designers to bring a world-class AI health companion to the world.
• Own the end-to-end development of features, from ideation and specification through to deployment and iteration.
• Design, build, and optimize production-grade code, delivering robust features within a much larger existing architecture.
• Work independently across a wide range of our stack, shipping delightful user experiences.
• Ensure resilience, maintainability, and security above all else.
• Build the hiring pipelines, onboarding frameworks, or software development best practices as needed to scale an engineering team around you. Guide peers, contributing to a culture of technical excellence and continuous improvement.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred qualifications:

• 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.
• Demonstrated expertise building products at scale, with domain expertise in one or more of distributed systems, cloud infrastructure, web, mobile, GenAI.
• Experience collaborating in cross functional teams, working through ambiguity to deliver high quality products.
• Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
• Experience in healthcare technology, particularly with regulated medical devices.
• 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 technologies and patterns in AI.
• Experience developing and improving evaluation methodologies for assessing quality of LLM-based products.

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

Software Engineering 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.

• Bachelor’s Degree in Computer Science, or Computer Engineering, or related field AND 4+ years related experience
  • OR Master’s Degree in Computer Science, or Computer Engineering, or related field AND 3+ years related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, or Computer Engineering, or related field AND 1+ year(s) related experience
  • OR equivalent experience.

Preferred Qualifications:

• Doctorate in Computer Science, or Computer Engineering, or related field AND 3+ years related experience
• 3+ years of experience applying AI solutions or LLMs to real‑world systems (RAG, ranking, classification, reasoning).
• Proven experience in distributed training, model optimization, and production ML infrastructure.
• Hands‑on experience developing and evaluating models on large‑scale, real‑world datasets.
• Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar).
• In depth nderstanding of experimentation methodologies, including offline metrics and online A/B testing.
• Ability to independently scope problems and deliver high‑quality solutions in ambiguous environments.
• Proven collaboration skills and experience working with engineering and product partners.
• Ability to clearly communicate technical concepts and trade‑offs to both technical and non‑technical audiences.
• Comfort operating across the full lifecycle—from research and prototyping to production and live operations.

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.

Required Qualifications:

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.

Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.

Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation.

Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.

Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.

Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

• 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.

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

• 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.
• Proven experience in programming and data analysis skills
• 2+ years of experience in developing and deploying large-scale machine learning models..
• Proven expertise in the areas of Generative AI, deep learning, or transformers.
• 2+ years of experience in reinforcement learning and contextual bandits.

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.

Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.

Design scalable algorithms for online and offline systems, delivering innovative solutions for content selection, user engagement modeling, and ad generation.

Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.

Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.

Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.

• 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.

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

• 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.
• Proven experience in programming and data analysis skills
• 2+ years of experience in developing and deploying large-scale machine learning models..
• Proven expertise in the areas of Generative AI, deep learning, or transformers.
• 2+ years of experience in reinforcement learning and contextual bandits.

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.

We built a platform to provide an open, transparent marketplace and powerful enterprise technology enabling marketers to connect and engage consumers on thousands of high-quality websites and apps. 

The Monetize Platform is an advanced buy-side and sell-side advertising technology platform that enables buyers and sellers to access and trade premium inventory in a transparent and streamlined environment.

Microsoft is hiring an experienced Senior Software Engineer to join the Auction Logic team, specifically focused on build, test, deploy, and monitoring.

As a Senior Software Engineer, you will

• Lead the cross-team engineering efforts to build business critical products for publishers and buyers on the Monetize platform.
• You will collaborate with a team of smart, passionate engineers.
• You will own significant areas of the Monetize real-time platforms and function as the architect.
• You will participate in setting the roadmap and direction for your areas of responsibility.

About the team:

The mission of the Auction Logic team is to create the digital marketplace with a purpose of accurately connecting advertisers (buyers) and publishers (sellers) in the most effective and efficient way possible. The team is responsible for building and operating a set of core components of Monetize real-time platform, specifically the distributed set of servers that runs an auction for every ad impression, delivers the ad content, and performs all the necessary accounting. The Monetize real-time platform is a large-scale distributed platform operating under strict real-time constraints, responding to and executing real-time, dynamic auctions in less than 100 milliseconds. In the past few years, we’ve grown from processing 300k QPS to over 5 million QPS for an approximate total of 100 billion requests per day. These events generate more than 150 TB of new data every day. Engineers work on the real-time components to optimize our software for performance, space, and algorithmic efficiency. The application that processes all those requests, impression bus, is among the responsibilities of the Auction Logic team. You will provide solutions to help connect advertisers and publishers in the digital marketplace as well as resolve complex technical issues that arise because of the immense scale of our platform.

About the job:

As a technical leader you’ll design and implement solutions that span multiple applications on the real time platform, are high quality, require hard real time constraints, are easy to operate and maintain, and make the lives of product engineers easier.  You will own or influence significant parts of the platform and allied areas. You will work closely with other engineers and our product teams, to not only make these systems go faster and handle more and more data, but also to build revolutionary new products for our clients. responsibilities will include:

• Designing and implementing scalable solutions including new features and enhancements of our Platform.
• Participating in and helping lead planning sessions with Product Management and Engineering team leads to constructing feature requirements and specifications.
• Produce prototype features quickly and participate in gathering feedback from clients.
• Bring innovation to the team in new features, improving build processes and product development lifecycle.
• Participate in code reviews and provide feedback to increase code efficiency, maintainability and robustness.
• Support and debug production level issues and provide fixes in an expedient manner.
• Mentor junior engineers on best practices in software development.

More about you:

• You are focused on building high-quality, intuitive products.
• You are passionate about learning and teaching. 
• You love challenging yourself to constantly improve and sharing your knowledge to empower others.
• You view processes as a means and not an end, preferring lean or automated approaches to ensure quality and productivity.
• You are not satisfied with the status quo and are always looking to improve how things are done and what is built.

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.

• Works with appropriate stakeholders to determine user requirements for a set of features.
• Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight.
• Creates and implements code for a product, service, or feature, reusing code as applicable.
• Contributes to efforts to break down larger work items into smaller work items and provides estimation.
• Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
• Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Required/Minimum 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:

• 5+ years of experience as a professional software developer.
• Experience using either C, C++, or Java, with excellent and creative problem-solving abilities. We will consider extensive experience with other languages as well, e.g., Rust, Go, etc.​
• Experience building high performance, multi-threaded, distributed systems and applications, preferably in a Linux environment.
• Experience practicing advanced optimization techniques.
• Solid fundamental understanding of generalized architecture patterns and service-oriented architecture (SOA).
• Excellent Computer Science fundamentals with regards to data structures, algorithms, time complexity, etc.

#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.