Principal Applied Scientist

The MSAI Search Relevance team is at the forefront of delivering world-class search quality across Microsoft's ecosystem. We are the driving force behind the relevance of results in Copilot Search experiences and serve as the core retrieval layer in the RAG architecture powering Bizchat (CoPilot Chat). Our impact also extends to maintaining high search quality across traditional endpoints like Outlook, Teams, and SharePoint Search. Our team thrives at the intersection of innovation and applied machine learning. We are looking for a Principal Applied Scientist to help us deliver breakthrough applied machine learning and information retrieval solutions at enterprise scale. This role is a unique opportunity to apply state-of-the-art techniques-including dense retrieval, hybrid search, multilingual large language models (LLMs), RAG (Retrieval-Augmented Generation), and transformer-based re-ranking models and agentic search-to solve complex challenges in Copilot-driven enterprise search.