Description
At Snowflake, we are powering the era of the agentic enterprise.
We are seeking a Staff Research Scientist to serve as a technical pillar within our AI research organization.
Responsibilities
In this role, you will:
- 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
We’re looking for:
- 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
- Compensation Range: $200K - $287.5K
- Frontier AI, Full Stack Work across the full stack,from foundation models (Arctic LLM, Arctic Text2SQL) to agent systems (Snowflake Intelligence) and inference/training infrastructure (Arctic Inference, Arctic Training)
- State-of-the-Art, Real Impact Drive cutting-edge research that ships,powered by massive enterprise data and production workloads
- Hard, Meaningful Problems Build autonomous systems for reliable reasoning over enterprise data,where correctness, cost, and latency all matter
- Open Research Culture Publish, open-source, and help shape the field