We are looking for a highly motivated and experienced Principal Data Scientist to join our Growth and Analytics team. 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.
\nResponsibilities: Build metrics system to measure Business Health and quickly identify the root cause when metrics move. Collaborate with cross-functional teams to understand features, estimate impacts and drive the engagement improvements based on insights from big data. Enhance products by evaluating performance metrics and user feedback. Develop self-service dashboards and reports for various stakeholders using reporting platforms. Analyse large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems. Conduct business modelling to identify growth opportunities and initiate projects with a positive long-term ROI. Design and conduct A/B tests to evaluate algorithm performance and propose iterative improvements based on the results. Effectively communicate findings, insights, and make recommendations to both technical and non-technical stakeholders, enabling informed decision-making.
\nQualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 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.
\nPreferred Qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’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 Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
\n5+ years of experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy. Previous web analytics, product analytics and or content analytics experience. Knowledge of Ads and content ecosystem. Interpersonal communication and ability to leverage the data to tell a story. Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights. Knowledge on big data processing from raw events to metrics and insights
","enriched_at":1777993695916},{"id":"job_b56f1db3-0ed","title":"Principal Data Scientist","source_url":"https://microsoft.ai/job/principal-data-scientist-18/","location":"Redmond","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"We are looking for a highly motivated and experienced Principal Data Scientist to join our Growth and Analytics team. Our mission is to empower every person on the planet to be informed, entertained, and inspired.
\nAs a Principal Data Scientist, you will build metrics system to measure Business Health and quickly identify the root cause when metrics move. You will collaborate with cross-functional teams to understand features, estimate impacts, and drive engagement improvements based on insights from big data. You will also enhance products by evaluating performance metrics and user feedback, develop self-service dashboards and reports for various stakeholders using reporting platforms, and analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems.
\nResponsibilities:
\nQualifications:
\nPreferred Qualifications:
\n5+ years of experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy. Previous web analytics, product analytics, and/or content analytics experience. Knowledge of Ads and content ecosystem. Interpersonal communication and ability to leverage the data to tell a story. Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights.
","enriched_at":1777993659694},{"id":"job_083b6f33-009","title":"Principal Product Manager, Foundational AI Research","source_url":"https://microsoft.ai/job/principal-product-manager-foundational-ai-research-8/","location":"Redmond","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. We’re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world and use it to solve real-world problems.
\nOur team is led by Mustafa Suleyman, CEO of Microsoft AI. Our research team includes some of the brightest minds in the field, responsible for developing many of today’s most influential LLM models. Notably, MAI has launched MAI-1 models, including MAI-1-image debuting in top 10 in LMarena.
\nAs a Principal Product Manager, Foundational Research, you will be advancing the next generation of LLM models working on either (1) pre-training and post-training data and evaluations, (2) training infrastructure, or (3) API and Platform. You will be responsible for working backward from customer needs to prioritize new research, build evals and datasets, and work closely with AI researchers to build and execute project plans.
\nIn particular, we are looking for candidates who:
\nHave built data collection or evaluation pipelines for pre-training or post-training AI models Have experience in working side-by-side with ML researchers or ML infrastructure teams to build large-scale ML / AI models Take the initiative and enjoys finding paths through complexity in a fast-paced environment, innovative environment Are passionate about managing high-stakes time-sensitive large-scale goals, and drive to relentlessly unblock progress Demonstrate a proactive attitude and enthusiasm for exploring new methods and are familiar with research and technical advancement in their area Have worked backwards from customer needs to deliver robust, scalable solutions that empower developers and enterprise customers.
\nResponsibilities:
\nIdentify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution. Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning. Create model prototypes to prove out new feature directions and scope projects. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback Foster a culture of collaboration, continuous improvement, and growth. Advance the AI frontier responsibly
","enriched_at":1777993612189},{"id":"job_5b980ab4-cd3","title":"Principal Product Manager, Foundational AI Research","source_url":"https://microsoft.ai/job/principal-product-manager-foundational-ai-research-7/","location":"Mountain View","job_type":"full-time","experience_level":"senior","work_arrangement":"onsite","category":"Engineering","description":"At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. We’re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world and use it to solve real-world problems.
\nOur team is led by Mustafa Suleyman, CEO of Microsoft AI. Our research team includes some of the brightest minds in the field, responsible for developing many of today’s most influential LLM models. Notably, MAI has launched MAI-1 models, including MAI-1-image debuting in top 10 in LMarena.
\nAs a Principal Product Manager, Foundational Research, you will be advancing the next generation of LLM models working on either (1) pre-training and post-training data and evaluations, (2) training infrastructure, or (3) API and Platform. You will be responsible for working backward from customer needs to prioritize new research, build evals and datasets, and work closely with AI researchers to build and execute project plans.
\nIn particular, we are looking for candidates who:
\nResponsibilities:
\nMicrosoft AI is a customer-first organization building AI-powered products in service of our customer's business goals. The world is changing rapidly during this AI platform shift and we need Product Managers who can live in the future and bring back clarity to the present to guide our work.
\nAs a Principal Product Manager for Microsoft AI, you will help businesses that want to grow and expand their business using our products, data, and services through advertising and new business models that unlock AI-first products. This role requires consistent knowledge and deep awareness of the emerging AI industry to develop new products as we have the freedom and flexibility to use the best technology in service of our customer.
\nYou will be part of Microsoft AI Monetization Platform trust and safety team to ensure all the products we build are safe and trustworthy. This is an opportunity to lead a critical area of Trust, shaping the future of ads integrity, anticipating emerging abuse vectors, including synthetic media and other sophisticated agentic attacks.
\nResponsibilities:
\nQualifications:
\nPreferred Qualifications:
\nThis position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
","enriched_at":1777558157158},{"id":"job_715cf30b-655","title":"Principal Data Scientist","source_url":"https://microsoft.ai/job/principal-data-scientist-17/","location":"Redmond","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"Microsoft AI (MAI) builds an integrated consumer AI ecosystem across search, browsing, and content, focused on delivering trustworthy, scalable experiences with durable user and business value. The MAI Growth and Analytics Team owns MAI wide metrics, shared measurement systems, and experimentation frameworks to enable consistent, high confidence decisions and optimize MAI level outcomes.
\nMentor data scientists to drive Microsoft Content product analysis and provide insights. At the same time, drive the AI Agents into Data Analysis to improve efficiency and enable data analysis for people with limited data knowledge.
\nPartner closely with Microsoft Content Dev/PM Team and data scientists from other Product (Edge, Copilot, Ads and Search.)
\nDevelop Agent for data analysis across Microsoft Content Org. Provide daily analysis, including standardized data collection, analysis, reporting, and interpretation; validate analytical approaches and results.
\nApply LLM based AI skills, statistical modeling, data mining, and experimentation to large datasets; define and deliver metrics that accurately measure user and business.
\nDesign and execute experiments across user and demand dimensions; translate strategy into clear, actionable, and measurable plans, sharing progress and results with stakeholders.
\nEngage stakeholders with clear, compelling, and actionable insights; make independent decisions for the team and handle complex tradeoffs to drive product and service improvements.
\nDevelop and standardize AI Agents for data analysis across the whole Microsoft Content and expand to other Product Org. Standards & Trusted Advisory: Establish and uphold standards, policies, and best practices for high-quality, efficient, and extensible code; influence business, customer, and solution strategy with a solid customer focus; act as a trusted advisor.
\nDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 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.
\nAbility 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.
\nDoctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master’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 Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
\nThe 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.
\nWe are looking for a Senior Software Engineer to join our team in Redmond, Washington. As a senior engineer, you will play a key role in designing, building, and operating developer productivity, CI/CD, or release engineering systems. You will have significant experience with Microsoft Azure (or AWS/GCP with strong Azure proficiency) and Infrastructure as Code such as Terraform or Bicep.
\nYour responsibilities will include:
\nTo be successful in this role, you will need:
\nIn return, we offer a competitive salary range of $119,800 - $234,700 per year, depending on location and experience. 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
","enriched_at":1777468021140},{"id":"job_bdd85aff-47e","title":"Member of Technical Staff (Audio)","source_url":"https://microsoft.ai/job/member-of-technical-staff-audio/","location":null,"job_type":"full-time","experience_level":"staff","work_arrangement":"remote","category":"Engineering","description":"At Microsoft AI, we are at the forefront of technological innovation, creating powerful tools and products that transform the way people live and work. We are seeking passionate and talented engineers to join our multimodal team. As part of our mission, you will play a key role in training, evaluating and deploying state-of-the-art models shaping the future like MAI-Voice and MAI-Transcribe . Our team is small, fast-paced, and collaborative, committed to excellence in every aspect of our work. We value creativity, efficiency, and a user-first approach, ensuring that every decision we make is grounded in real-world evidence. This is an opportunity to work on products with immediate and far-reaching impact, placing you at the core of a rapidly evolving AI landscape.
\nResponsibilities: Model Training & Evaluation: Design and maintain training data “recipes” (data sourcing, cleaning, labeling workflows, QA, versioning, and lineage) and develop evaluation frameworks (gold sets, challenge sets, human-in-the-loop evals, regression suites). Drive continuous quality improvements through systematic error analysis, ablations, and experimentation to improve model performance, robustness, safety, and reliability. Training & Inference Optimization and Scaling: Optimize end-to-end training and inference performance to meet latency, throughput, cost, and reliability targets. Profile bottlenecks (data loading, preprocessing, GPU utilization, kernel efficiency), implement optimizations (batching, quantization, mixed precision, caching, model distillation, efficient serving patterns). Collaboration: Work closely with with other members of the AI research team, including researchers, engineers and product managers to define requirements, scope projects, and deliver high-impact solutions. Culture & Values: Actively contribute to a positive, inclusive, and collaborative team culture, embodying our Culture and Values .
\nQualifications Required Qualifications Master’s degree in computer science OR equivalent technical experience. PhD is a plus Preferred Experience Experience building and maintaining training data pipelines (ingestion, cleaning, labeling, QA, versioning, lineage) Experience designing eval frameworks and datasets (gold sets, challenge/adversarial sets, human-in-the-loop evals, A/B tests, regression suites) and running error analysis. Strong experimentation skills: ablations, hypothesis-driven iteration, tracking metrics and qualitative rubrics. 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. 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. Contributions or interest in audio
","enriched_at":1777468016077},{"id":"job_9b3dfb20-a4b","title":"Principal Software Engineer","source_url":"https://microsoft.ai/job/principal-software-engineer-62/","location":"Redmond","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"Are you excited about the potential of AI to revolutionize digital advertising? Join our team and play a pivotal role in building Advertiser Copilot, an innovative AI-powered assistant designed to help advertisers create and manage their campaigns through a seamless chat-based interface.
\nLeveraging state-of-the-art Generative AI (GenAI), Advertiser Copilot generates text, image, and video creative assets, making campaign creation efficient and intuitive.
\nAs a Software Engineer on our team, you will:
\nThis opportunity will allow you to accelerate your career growth, work with the latest advancements in Generative AI, and influence technology development in a high-impact growth area at Microsoft AI.
\nMicrosoft’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.
\nStarting 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.
","enriched_at":1777381756049},{"id":"job_c1bcfe31-e09","title":"Member of Technical Staff - Backend Engineer","source_url":"https://microsoft.ai/job/member-of-technical-staff-backend-engineer-2/","location":"Redmond","job_type":"full-time","experience_level":"staff","work_arrangement":"hybrid","category":"Engineering","description":"Microsoft AI is looking for a talented Backend engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We're looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment.
\nThis team is responsible for building and scaling the core backend platform – Orchestrator, Inference and APIs that power Consumer Copilot,enabling rapid development, deployment, and iteration of AI-powered features and experiences while collaborating with our Product Management, Design, Data Scientists, and AI Research teams to deliver impactful results.
\nOur newly formed organization, Microsoft AI (MAI), 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.
\nMicrosoft’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.
\nAs a Member of Technical Staff – Backend Engineer, you will be responsible for building secure and performant APIs that power Copilot apps. You will work collaboratively with other product engineers, Product Managers, and platform engineers to take ambiguous projects and mold them into amazing experiences. You will ship high-quality, well-tested, secure, and maintainable code. You will find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. You will enjoy working in a fast-paced, design-driven, product development cycle. You will embody our Culture and Values.
\nWe are looking for someone with a 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. You should have experience building backend API for mobile apps such as GraphQL/Rest APIs/Protobuf/Thrift, and streaming protocols such as websocket/SSE/WebRTC with familiarity in backend and mobile data schema code generation or consistency, version control for mobile releases, analytics, feature flags, a/b testing framework. You should also have experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. You should have extensive use datastores like RDBMS, key-value stores, etc. You should have experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking. You should have experience working with AI platforms, frameworks, and APIs. You should be able to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. You should be dedicated to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. You should have demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. You should be able to clearly communicate complex technical concepts to both technical and non-technical stakeholders. You should have passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. You should be able to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. You should have proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
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