As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training.

Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.

Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.

Drive algorithmic innovations for Retrieval within Large Language Models.

Collaborate cross-functionally to set Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality.