Staff GenAI Research Scientist - Agents

Staff GenAI Research Scientist - Agents

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Databricks

Staff GenAI Research Scientist - Agents P-1214

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on high value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post‑training open source LLMs to developing advanced multi‑agent architectures. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high‑quality AI should be available to all.

Job Description

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.

Responsibilities

  • 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 and 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.

Qualifications

  • 4+ years of industry experience.
  • PhD or MS in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval.
  • Experience developing and implementing methods that extend and improve model capabilities, reliability, and safety.
  • Strong preference for candidates with first‑author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPS) focused on optimization or efficiency.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $192,000 — $270,000 USD. Compensation may also include eligibility for annual performance bonus, equity and benefits.

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Databricks

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Databricks Recruiting-Team