New 
Principal Applied Scientist
 Microsoft | |
 United States, Washington, Redmond | |
 May 20, 2025 | |
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OverviewMicrosoft's mission is to empower every person and every organization on the planet to achieve more. Microsoft believes that artificial intelligence will play a critical role in accomplishing that mission. The Microsoft Search, Assistant, and Intelligence (MSAI) group is leading this effort. We are working to change the lives and work of hundreds of millions by building deep intelligence into M365 Chat, Search, Recommendation and Knowledge powered scenarios that people use every day in Outlook, Teams, Windows, Edge, Office, SharePoint, and OneDrive.We are looking for a Principal Applied Scientist who can bring deep applied science expertise and a proven track record of shipping at-scale, AI-enabled, intelligent user-facing experiences to drive vision and execution for Microsoft 365 AI. As a Principal Applied Scientist in MSAI, you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Microsoft Research. You will work as part of an organization that brings together talent in the areas of large language models, recommender systems, machine learning, deep learning, graph learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products.This role is flexible in that you will be able to partner with your manager to define the way that you'd like to work, whether in the office or from home. 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.
ResponsibilitiesConduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of moderm reinforcement learning, reasoning and CoT (Chain of Thoughts) optimization, and Large Language Models.Synthetic data generation for supervised fine tuning, rewards model training, PPO (Proximal Policy Optimization), and other reinforcement learningPush the boundaries of AI platforms through innovation and partnership.Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.Collaborate closely with Microsoft Research, Azure, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.Support and develop a thriving applied science culture within the MSAI organization to encourage experimentation, scientific process, and innovation. | |