Hybrid Staff Research Scientist, AI Agents, LLMs

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About the role

  • Staff Research Scientist driving AI innovation and LLM development at Snowflake. Defining research direction and developing cutting-edge models for enterprise AI collaboration.

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

Benefits

  • Health insurance
  • Retirement plans
  • Flexible work arrangements
  • Professional development

Job title

Staff Research Scientist, AI Agents, LLMs

Job type

Experience level

Lead

Salary

$236,000 - $339,200 per year

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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