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

Staff Research Scientist, AI Agents, LLMs

Key skills