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.
About the job
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
LLMs, Fine-Tuning, Alignment, Multi-Agent Systems, Tool Use, Retrieval, PyTorch, Rl, Long-Context Training, Text2Sql
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