Staff Research Scientist, AI Agents & LLMs

Responsibilities

• Define research direction in Agentic AI and LLMs
• Develop models through training, fine-tuning, and alignment for enterprise reasoning and tool use
• Advance autonomous agents, driving state-of-the-art capabilities in multi-step reasoning and tool use
• Advance the stack including 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 including training, fine-tuning, alignment, or post-training
• Experience with agentic systems such as multi-agent systems, tool use, or agent optimization
• Strong systems thinking under real-world constraints like latency, cost, and reliability
• Proven technical leadership and end-to-end ownership
• Ability to translate research into impactful systems

About the Company

Snowflake is powering the era of the agentic enterprise, building the brain for the Enterprise Data Cloud through frontier AI, foundation models, and agentic innovations.