New

Senior Applied Scientist and Principal Applied Scientist (Multiple openings)

Microsoft
$119,800.00 - $234,700.00 / yr
United States, Washington, Redmond
Mar 09, 2026
Overview Are you passionate about advancing Artificial Intelligencethrough innovative research, development, and deployment?Are you excited aboutapplyingyourexpertiseto help shape the future of AI technologies and their impact on productivity and collaboration? We arelooking forSeniorApplied Scientistand PrincipalApplied Scientist (multiple openings).These rolesare marked by progressively greater responsibility, technical expertise, and leadership aligned to M365 Core's priorities.The position provides opportunities to contribute to transformative AI solutions and to shape the future of productivity, communication, and intelligent experiences across Microsoft platforms. In close partnership with engineers, product managers, and researchers, you design, develop, and rigorously evaluate machine learning models and AI systems that power the core capabilities of M365-including productivity, collaboration, and security. Your efforts enable the delivery of innovative, personalized, and efficient solutions that drive productivity and add value to millions of users worldwide, directly supporting the uniqueobjectivesof the M365 Core team. Microsoft's mission is to empower every person and every organization on the planet to achieve more. Asemployeeswe 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 Collaborate with AI researchers, engineers, and multidisciplinary teams within M365 Core to design, build, and deliver end-to-end machine learningsolutionsoptimizedforhuman-human and human-AI interactions across productivity and collaboration scenarios. Lead and contribute to research and development initiatives in language model training, evaluation, and quality assessment with a specific focus on advancing the foundational capabilities and enterprise solutions of M365 Core. Design, develop, and refine robust ML pipelines, including data cleaning, feature engineering, model training, evaluation, deployment, and optimization. Adapt,extendor enhancethe capability oflarge language models (LLMs) using a combination of supervisedfinetuning, reinforcement learning, and apply advanced techniques such as chainofthought prompting, agent orchestration, and synthetic data generation to meet evolving business needs. Remain current with the latest advancements in ML, AI, digital signal processing, and responsible AI practices, contributing to intellectual property portfolios through publications, patents, and libraries. Develop and deploy live production systems as part of integrated product teams, supporting all phases of the product cycle from ideation to shipping, post-launch optimization, and ongoing improvements. Champion ethics, fairness, and privacy in AI system development, contributing to policy creation and ensuring responsible research and data collection practices. Document work in progress, experimentation results, and share findings to promote a culture of innovation and transparency. Mentor and developearly-in-careerteam members,establishbestpractices, and collaborate with academiccommunities to build a robust recruiting pipeline for research talent. Present research findings at conferences and industry events, shaping the dialogue around AI-powered solutions for enterprise and communication platforms. Qualifications Required/Minimum Qualifications: Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) ORMaster's Degreein Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. Additionalor Preferred 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) ORMaster's Degreein 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. OR equivalent experience. Experience in developing and deploying production-grade ML pipelines andshipping internet scale, lowlatencyand high throughput systems AI productsas part of a product teamwith customer/End-result/Metrics driven in design and development. Experience working across multiple points in the product cycle, from ideation to shipping. Experience in applied ML/statistical modeling/quantitative analysis/deep learning techniques; building and fine-tuning models (retrieval/classification/generation) on large-scale LLM/SLM data; shipping ML/AI at internet scale; andapplying deep learning techniques anddrive end-to-end AI product development (RAG, Search, Recommendation, NLP, Document Understanding, etc.). Experience programming inPython; experience withC#, Java, orC++. Background in ahighly quantitative STEM fieldor equivalent applied experience, with evidence ofresearch or production impact. 3+yearsexperiencecreating publications (e.g., patents, libraries, peer-reviewed academic papers). 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 $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 Applied Sciences IC5 - 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 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.