MSAI organization plays a key role in Microsoft to build products that help boost Enterprise users’ productivity. We help users find relevant artifacts and get their daily jobs done in timely and efficient manner. MSAI is now responsible to deliver M365 Chat Copilot which uses LLMs and Retrieval Augmented Generation (RAG) to help users find, summarize, act upon their work data in an interactive pattern. 

As a Senior Applied Scientist specializing in ranking and recommendation ML models, you will play a pivotal role in shaping the future of our ranking systems. You will collaborate closely with cross-functional teams to design, implement, and evaluate state-of-the-art algorithms that power our retrieval and ranking engine. Leveraging your expertise in machine learning, you will drive innovation and continuously improve the performance and relevance of our retrieval stack. 

Our work requires implementation in production and so the ideal candidate will have experience in both Applied Science and Software Engineering. 

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.