GenAI Research Scientist - Agents

Staff GenAI Research Scientist - Agents

P-1214

At the company, 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 the high value challenges that are central to their own missions.

The company 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. The company 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.

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 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.

• 4+ years of industry experience.
• Ph.D. or M.S. 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 and systems conferences (EMNLP, ICLR, ACL, NeurIPS) focused on optimization or efficiency.

Local Pay Range: $192,000 – $270,000 USD.

At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.