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Staff Research Scientist, AI Agents & LLMs

Leads research in agentic AI and LLMs, developing models for enterprise reasoning, autonomous agents with tool use, and production systems. Requires PhD, expertise in LLM training/fine-tuning, agent systems, and technical leadership.

236k – 339kBellevue, WAMenlo Park, CAAI ResearchHybrid

About the role

Responsibilities

  • Define research direction in Agentic AI and LLMs
  • Develop models: train, fine-tune, and align models for enterprise reasoning and tool use
  • Advance autonomous agents: drive state-of-the-art capabilities in multi-step reasoning and tool use
  • Advance the stack: retrieval, grounding, memory, and multi-agent coordination
  • Establish evaluation standards for reliability, safety, and efficiency
  • Drive research breakthroughs into production within Snowflake’s platform
  • Mentor and lead to amplify the team’s technical impact
  • Contribute to the field through publications and open source

Requirements

  • Ph.D. in Computer Science or a related field with a strong publication record
  • Expertise in LLM development (training, fine-tuning, alignment, or post-training)
  • Experience with agentic systems (multi-agent systems, tool use, or agent optimization)
  • Strong systems thinking under real-world constraints (latency, cost, reliability)
  • Proven technical leadership and end-to-end ownership
  • Ability to translate research into impactful systems

Skills

LLMsFine-TuningAlignmentMulti-Agent SystemsTool UseRetrievalPyTorchRlLong-Context TrainingText2Sql

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