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.
As a Principal Applied Scientist, you’ll be responsible for delivering mission-critical innovations that directly improve Copilot experiences such as:
- Agentic Search in modern orchestrator architectures
- Adapting advanced vector search algorithms (e.g., FAISS, ANN, ScaNN) for enterprise-scale semantic retrieval
- Improving classic and neural keyword search quality through deep language understanding
- Designing and training relevance models, including LLM fine-tuning and learning-to-rank (LTR) approaches
- Building robust evaluation pipelines using offline metrics and online A/B experimentation
- Driving cross-org collaboration with platform partners, other applied science teams, and product teams across time zones
This role requires a mix of technical depth, strategic execution, and people management to shape the next generation of AI-powered search experiences.
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.

