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Principal Applied Scientist

Microsoft
United States, Washington, Redmond
Oct 24, 2025
OverviewThe Data and AI team in Microsoft's Developer Division is working on the future of AI for Developers! We are a diverse, entrepreneurial and multi-disciplinary group of scientists, researchers and engineers with passion for using AI to improve the productivity of millions of developers around the world. We have released AI for code advancements in Github Copilot, VS Code, Visual Studio and other Microsoft Copilots. We are seeking an entrepreneurial and creative Principal Applied Scientist to lead groundbreaking research projects, taking these from research into product. You will collaborate with scientists, engineers and designers across Microsoft Research, Microsoft product teams and Github. You will have an opportunity to build and train state-of-the-art models, and opportunities to both apply and advance existing approaches of using LLMs for software engineering, from using RAG to evaluation. Most importantly, you will have an opportunity to work closely with several developer product teams to run experiments, evaluate, iterate and improve your AI projects on a large scale. 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.
ResponsibilitiesAdvance AI for Developers: Lead research and development of cutting-edge LLM-based solutions for code understanding, generation, and developer productivity.Bridge Research and Product: Collaborate closely with engineering teams to integrate models into GitHub and Microsoft developer tools at scale.Innovate with Data and Systems: Design high-quality datasets, build retrieval-augmented systems, and optimize inference for real-time experiences.Drive Experimentation and Impact: Run large-scale evaluations, A/B tests, and telemetry-driven improvements to deliver measurable value.Embrace our culture and values
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