Staff Research Scientist, AI Agents & LLMs

Snowflake is seeking a Staff Research Scientist to serve as a technical pillar within its AI research organization. The role sits at the intersection of autonomous agents and large language models (LLMs), building models and systems that turn enterprise data into self-directed, decision-making agents. The team operates at the frontier of enterprise AI, delivering state-of-the-art models and production systems including Arctic LLM, Arctic-Text2SQL, Snowflake Intelligence, Arctic Inference, Arctic Long-Context Training, and Agent World Models (AWM).

• 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

• 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

Salary range: $236,000 – $339,200 USD per year. Snowflake offers a comprehensive benefits package; details available on the Snowflake Careers Site.

Apply through the Snowflake careers portal.