Member of Technical Staff, High Performance Computing Engineer
Mountain View, United States
Apply nowJob Number
1970324837009262-en-1
Overview
As Microsoft AI we are pushing the boundaries of technology.
We are creating unique, beautiful and powerful products that will change lives. A small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact.
We are seeking experienced High Performance Computing Engineers to join our team and contribute to the evolution of our personal AI, Copilot. This role offers the unique opportunity to work on some of the largest scale supercomputers in the world, a rare chance to operate at such a significant scale. The right candidate will bring a wealth of positive energy, empathy, and kindness, coupled with a track record of effectiveness. You’ll be proactive, relishing the challenge of crafting top-tier consumer experiences and products swiftly and efficiently. Our team is at the forefront of developing APIs that enhance our ability to fine-tune and deploy Copilot’s core functionalities, in partnership with our Product Management, Design, and AI Research teams.
Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.
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.
By applying to this Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.
Responsibilities:
- Build secure and performant AI Platform services that power Copilot.
- Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.
- Ship high-quality, well-tested, secure, and maintainable code.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody our Culture and Values.
Required/Minimum Qualifications:
- Bachelor’s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web services with coding in languages including, but not limited to, Python, C#, C++, Rust, Java
- OR equivalent experience.
- 6+ years of experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.)
- 6+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP.
Preferred Qualifications:
- Experience with LLM training clusters.
- Experience working with AI platforms, frameworks, and APIs.
- Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
- Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
- Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 – $294,000 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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Job Number
1970324837016562-en-2
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI (MS AI) is seeking an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who thinks deeply about measurement and human-AI interactions—in this role you help us describe and measure how people use Microsoft Copilot. We seek a versatile data scientist who can architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.
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.
By applying to this U.S. Mountain View, CA OR Redmond, WA position, you are required to be local to the San Francisco area OR Seattle area and in office 3 days a week.
Responsibilities
- Develop and improve evaluation methodologies to assess model output quality, for both machine eval and human eval metrics and coverage.
- Design and implement scalable data pipelines to extract, transform, and structure product logs for evaluation use cases.
- Synthesize datasets for human or machine evaluation.
- Analyze and interpret results from A/B tests, offline benchmarks, and live experiments to drive actionable recommendations.
- Train ML classifiers to analyze and label user logs (e.g., classify intent, detect quality issues) for evaluation
- Draw insights from eval results and form recommendations, drive different eval experiments to find the most optimal solutions.
- Work closely with product managers, engineers, and researchers to define evaluation criteria aligned with product goals and user value.
- Create and maintain dashboards and reporting tools to monitor eval performance and trends.
- Contribute to the development of custom metrics that go beyond standard benchmarks to capture product-specific nuances.
- Stay current on the latest in LLM research on evaluation and prompting.
- Embody our Culture and Values.
Required Qualifications
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 5+ years of experience in data science, ML evaluation, or applied research.
- Working knowledge of LLM evaluation methods, including experience conducting both human evaluations and LLM-as-a-judge assessments
- Experience using Python, SQL, and common data analysis libraries for data processing and analysis.
- Ability to analyze complex problems, communicate findings clearly, and translate insights into actionable steps.
Preferred Qualifications
- Experience building or evaluating LLM applications in production.
- Product-driven thinking.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
Data Science IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Job Number
1970324837016562-en-1
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI (MS AI) is seeking an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who thinks deeply about measurement and human-AI interactions—in this role you help us describe and measure how people use Microsoft Copilot. We seek a versatile data scientist who can architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.
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.
By applying to this U.S. Mountain View, CA OR Redmond, WA position, you are required to be local to the San Francisco area OR Seattle area and in office 3 days a week.
Responsibilities
- Develop and improve evaluation methodologies to assess model output quality, for both machine eval and human eval metrics and coverage.
- Design and implement scalable data pipelines to extract, transform, and structure product logs for evaluation use cases.
- Synthesize datasets for human or machine evaluation.
- Analyze and interpret results from A/B tests, offline benchmarks, and live experiments to drive actionable recommendations.
- Train ML classifiers to analyze and label user logs (e.g., classify intent, detect quality issues) for evaluation
- Draw insights from eval results and form recommendations, drive different eval experiments to find the most optimal solutions.
- Work closely with product managers, engineers, and researchers to define evaluation criteria aligned with product goals and user value.
- Create and maintain dashboards and reporting tools to monitor eval performance and trends.
- Contribute to the development of custom metrics that go beyond standard benchmarks to capture product-specific nuances.
- Stay current on the latest in LLM research on evaluation and prompting.
- Embody our Culture and Values.
Required Qualifications
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 5+ years of experience in data science, ML evaluation, or applied research.
- Working knowledge of LLM evaluation methods, including experience conducting both human evaluations and LLM-as-a-judge assessments
- Experience using Python, SQL, and common data analysis libraries for data processing and analysis.
- Ability to analyze complex problems, communicate findings clearly, and translate insights into actionable steps.
Preferred Qualifications
- Experience building or evaluating LLM applications in production.
- Product-driven thinking.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
Data Science IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Job Number
1970324837016564-en-2
Overview
As Microsoft AI we are pushing the boundaries of technology.
We are creating unique, beautiful and powerful products that will change lives. A small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.
Being passionate and opinionated about human computer interaction, you will work at the nexus of product and research specifically focused on information retrieval for language models. Your products are the language models that power Microsoft Copilot. You will be responsible for balancing product needs with research priorities, ensuring that Copilot’s messages are high quality, factual and safe. You will also be responsible for prioritizing new features and research, identifying gaps, building evaluations, defining metrics and working closely with Engineers, AI researchers and other dependency teams to build and execute product plans. We’re looking for someone with an abundance of positive energy, empathy, and kindness, in addition to being highly effective. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
Microsoft AI (MAI) focuses on Copilot and other consumer AI products and research. We combine world-class AI research together with top notch design and product craft. This role requires a balance of technical skills and effective people management skills.
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.
By applying to this U.S. Mountain View, CA OR Redmond, WA position, you are required to be local to the San Francisco area OR Seattle area and in office 3 days a week.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- Define the end-to-end evaluation strategy for LLM-based product, spanning defining metrics, building datasets, synthesize insights and translate them into actionable steps for product response quality improvement.
- Design and run human evaluations, write evaluation guidelines, and ensure evaluation quality.
- Design and write LLM-as-judge prompts, build and run machine evaluations.
- Collaborate with engineers, and product teams to drive eval implementations and share best practices across the board.
- Partner with data and insights teams to develop scalable pipelines and dashboards to track pre-launch eval performance across all dimensions.
- Own product requirements and roadmaps for internal tools used to run and analyze evaluations at scale.
- Translate evaluation insights into actionable product improvements and inform product quality improvement decisions.
- Monitor trends in product performance, user feedback, and competitive benchmarks to continuously refine evaluation approaches.
- Own key projects, proactively identifying risks and proposing solutions to ensure timely delivery.
- Coordinate Cross-Team Collaboration: Work closely with engineering, data science, and product stakeholders to align on goals, track deliverables, and communicate status updates effectively.
- Embody our Culture and Values.
Required Qualifications
- Bachelor’s Degree AND 5+ years experience in product/technical program management or software development
- OR equivalent experience.
- 3+ years of experience leading multi-disciplinary projects, defining requirements, developing project plans and working with multi-disciplinary teams to execute them.
- Experience in building and evaluating ML-powered or LLM-powered products.
Preferred Qualifications
- Computer science background, experience in training/ evaluation of LLMs
- Technical depth in software development, data science and machine learning. While you are not expected to write code on the critical path, you’re able to define and execute on zero-to-one prototypes, reason over large amounts of data, and speak the language of the engineers and researchers you work with.
- Experience using and applying Large Language Models. LLMs will be your clay – you should know how to prompt engineer them, how to evaluate them, and understand how they are tuned.
The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Job Number
1970324837016564-en-1
Overview
As Microsoft AI we are pushing the boundaries of technology.
We are creating unique, beautiful and powerful products that will change lives. A small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.
Being passionate and opinionated about human computer interaction, you will work at the nexus of product and research specifically focused on information retrieval for language models. Your products are the language models that power Microsoft Copilot. You will be responsible for balancing product needs with research priorities, ensuring that Copilot’s messages are high quality, factual and safe. You will also be responsible for prioritizing new features and research, identifying gaps, building evaluations, defining metrics and working closely with Engineers, AI researchers and other dependency teams to build and execute product plans. We’re looking for someone with an abundance of positive energy, empathy, and kindness, in addition to being highly effective. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
Microsoft AI (MAI) focuses on Copilot and other consumer AI products and research. We combine world-class AI research together with top notch design and product craft. This role requires a balance of technical skills and effective people management skills.
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.
By applying to this U.S. Mountain View, CA OR Redmond, WA position, you are required to be local to the San Francisco area OR Seattle area and in office 3 days a week.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- Define the end-to-end evaluation strategy for LLM-based product, spanning defining metrics, building datasets, synthesize insights and translate them into actionable steps for product response quality improvement.
- Design and run human evaluations, write evaluation guidelines, and ensure evaluation quality.
- Design and write LLM-as-judge prompts, build and run machine evaluations.
- Collaborate with engineers, and product teams to drive eval implementations and share best practices across the board.
- Partner with data and insights teams to develop scalable pipelines and dashboards to track pre-launch eval performance across all dimensions.
- Own product requirements and roadmaps for internal tools used to run and analyze evaluations at scale.
- Translate evaluation insights into actionable product improvements and inform product quality improvement decisions.
- Monitor trends in product performance, user feedback, and competitive benchmarks to continuously refine evaluation approaches.
- Own key projects, proactively identifying risks and proposing solutions to ensure timely delivery.
- Coordinate Cross-Team Collaboration: Work closely with engineering, data science, and product stakeholders to align on goals, track deliverables, and communicate status updates effectively.
- Embody our Culture and Values.
Required Qualifications
- Bachelor’s Degree AND 5+ years experience in product/technical program management or software development
- OR equivalent experience.
- 3+ years of experience leading multi-disciplinary projects, defining requirements, developing project plans and working with multi-disciplinary teams to execute them.
- Experience in building and evaluating ML-powered or LLM-powered products.
Preferred Qualifications
- Computer science background, experience in training/ evaluation of LLMs
- Technical depth in software development, data science and machine learning. While you are not expected to write code on the critical path, you’re able to define and execute on zero-to-one prototypes, reason over large amounts of data, and speak the language of the engineers and researchers you work with.
- Experience using and applying Large Language Models. LLMs will be your clay – you should know how to prompt engineer them, how to evaluate them, and understand how they are tuned.
The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Job Number
1970324837016920-en-1
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI (MS AI) is seeking an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who thinks deeply about measurement and human-AI interactions- in this role you help us describe and measure how people use Microsoft Copilot. We seek a versatile data scientist who can architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling.
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.
By applying to this U.S. Redmond, WA position, you are required to be local to the Greater Seattle area in office 3 days a week.
Responsibilities
- Develop metrics for copilot usage and quality.
- Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot.
- Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.
- Enable A|B experimentation for new features.
- Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own.
- Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody our Culture and Values.
Qualifications
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 1+ years of experience in leveraging complex data, applied data science, developing sophisticated algorithms, executing large-scale A/B testing, and possessing extensive product knowledge.
- Experience with metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results.
- Proficiency in using one or more programming or scripting language like Python, R, or C# to work with data required.
Preferred Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- Experience with prompt engineering and using LLMs.
- Experience building data pipelines to support analytics and experiment scenarios
- Experience working on product analytics to drive product improvements
- Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
- Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrosoftAI #copilot
Job Number
1970324837016930-en-1
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI is seeking an experienced Applied Scientist to drive the next wave of advancements in Copilot’s AI capabilities. We’re looking for someone with expertise in data engineering, data science, and model training – someone who thrives at the intersection of research and product development. The right candidate enjoys tackling complex technical challenges, optimizing large-scale data pipelines, and collaborating with research teams to push the boundaries of generative AI. The Windows Copilot team is responsible for creating experiences that demonstrate the power Copilot can bring to Windows, large screens and productivity scenarios. In this role you will play a critical role in designing, developing, and implementing cutting-edge solutions while collaborating with Platform, Product Management, Design and Research teams.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
By applying to this U.S. Redmond, WA position, you are required to be local to the Greater Seattle area in office 3 days a week.
Responsibilities
- Develop and refine data pipelines and infrastructure to support AI model development for Copilot.
- Collaborate with research teams to integrate cutting-edge AI advancements into production systems.
- Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.
- Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.
- Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot’s intelligence.
- Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.
- Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.
- Embody our Culture and Values.
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.
- Proven track record of deploying machine learning models in large-scale production environments.
- 4+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.
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.
- Experience with AI model training, fine-tuning, and evaluation methodologies.
- Ability to analyze large datasets, extract insights, and apply them to model improvements.
- Familiarity with research-oriented AI development, collaborating with teams to bridge theory and application.
- Experience optimizing AI models for performance, efficiency, and interpretability.
- Ability to work in a fast-paced, research-driven environment, balancing multiple priorities while fostering collaboration.
- Dedication to writing clean, maintainable, and well-documented code.
The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrosoftAI #Copilot
Job Number
1970324837016787-en-1
Overview
Microsoft AI is looking for a Member of Technical Staff – Full Stack – Engineering Manager to help build the next wave of capabilities of our personalized AI assistant, Copilot. At Microsoft AI we believe in pushing the boundaries to create outstanding products and services. Our mission is to innovate and excel in AI so you can be more productive and efficient in everything you do.
You will be leading high-performing full-stack teams in delivering robust, scalable, and secure software solutions. You will be driving the development of capabilities for our Copilot product. You will model strong leadership, guide the architectural and technical direction of the product, and foster a collaborative, growth-oriented engineering culture. This role requires a deep understanding of engineering practices, people leadership, user-focused design, and operational excellence. In addition, hands-on coding and technical contribution will be a key part of your leadership, including writing and reviewing production-level code. In this role, you would be working with all the four stages of our evaluation platform: Data sampling, AI data collection and processing, data analysis/evaluation, and insights. You will take on multiple engineering roles and work across the full stack, including database backend, middle-tier services, front-end browser automation, statistical analysis, and creating consumable dashboards. Your role will also involve prompt engineering and extensive use of AI tools.
Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team oversees Copilot, Bing, Edge, and generative AI research. Join us in shaping the future of personal computing powered by AI.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
By applying to this U.S. Mountain View, CA you are required to be local to the Mountain View area and in office 3 days a week.
Responsibilities
- Hire, manage, and lead a team of software engineers responsible for delivering secure, reliable, and scalable products
- Ship AI powered experiences that will shape how millions of people will interact with AI in the future
- Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world
- Write and review code, ensuring quality, maintainability, and performance, while also setting high standards for engineering excellence across the team.
- Guide architecture and design efforts by leading discussions, creating proposals and design documents, and ensuring solutions meet business, security, and compliance requirements.
- Build and maintain testing strategies, ensuring comprehensive coverage, effective automation, and scalable test frameworks that support continuous integration and deployment.
- Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination.
Qualifications
Required Qualifications
- Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 3+ years of people manager experience
Preferred Qualifications
- Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 4+ years people management experience
Software Engineering M5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Job Number
1970324837016639-en-1
Overview
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.
To that end, we are looking for a senior team member to help develop and deliver US health industry strategic partnerships. In this role, you will support the full range of healthcare go-to-market activities, from relationship development to hands-on delivery. This role will be remote – US-based but working with teams based in both the US and the UK.
Microsoft’s overarching mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- Partnership Development – establish and cultivate relationships with leaders of internal teams, attend, support and run executive-level meetings with internal and external partners. Develop and own individual partner relationships from first contact through to in-market execution. This will involve regular travel within the US, and occasional travel overseas.
- Project Delivery – work closely with executive leaders to support and validate proposition development, thorough deep desk research, financial and data analysis and synthesis. Production of presentation materials to a highly polished level with only high-level direction and oversight. Leadership of individual projects from inception through to final delivery.
- Market Insight – maintain an understanding of customers, competitors, partners, business models, market sizing, and industry trends. Proactively identify opportunities and threats to inform ongoing strategy.
- Full Stack – by design we will remain a lean founding team (albeit within a much larger org), and as such you will need to be highly self-sufficient, and span from high level strategy through to ground-level execution on a wide range of tasks. This also means you will play a major role in promoting a positive team culture.
- Embody our culture and values.
Qualifications
Required Qualifications
- Bachelor’s degree in business, Liberal Arts, Sciences, or related field AND 12+ years relevant work experience in a relevant role in healthcare (e.g. healthcare startup, consulting, venture capital, business development, or related field) OR equivalent experience.
Preferred Qualifications
- Deep knowledge of the US healthcare market
- Exceptional ability to develop and build trusting relationships with executive-level partners
- Strong communication, presentation and project management skills
- Ability to produce high quality written and presentation materials (PowerPoint, Word) with excellent attention to detail
- Strong numerical analysis (Excel) and financial literacy (understand fundamentals of P&L, balance sheet etc)
- Drive and initiative to maintain momentum, even when working solo
- Work at high speed with autonomy in a rapidly changing environment
- Relish ambiguity/uncertainty
Business Development IC6 – The typical base pay range for this role across the U.S. is USD $155,800 – $277,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $202,400 – $303,600 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#Copilot #MicrosoftAI
Job Number
1970324837016195-en-1
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
Microsoft AI (MAI) is seeking experienced Product Engineers to help build the Copilot web experiences which are available on copilot.microsoft.com, Edge Browser and Window OS. You’ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities:
In this role, you will:
- Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future.
- Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world.
- Design and build efficient and reusable front-end systems that drive complex web applications.
- Plan and deploy front end infrastructure necessary to build, test, and deploy our products.
- Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products.
- Embody our Culture and Values.
Qualifications
Required Qualifications:
- Bachelor’s degree in computer science, or related technical discipline AND software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React
Preferred Qualifications:
- Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar.
- Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off.
- Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
- Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrosoftAI #COPILOT