Staff Research Scientist, AI Agents & LLMs (AI Engineering)

TL;DR

Staff Research Scientist, AI Agents & LLMs (AI Engineering): Building models and systems that turn enterprise data into self-directed, decision-making agents with an accent on autonomous agents and large language models (LLMs). Focus on reliable reasoning, long-horizon planning, grounded generation, and scalable model and agent development.

Location: Hybrid (US-WA-Bellevue; US-CA-Menlo Park)

Salary: $236K - $339.2K

Company

Snowflake is powering the era of the agentic enterprise.

What you will do

• 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.

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.

Culture & Benefits

• 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).
• Drive cutting-edge research that ships—powered by massive enterprise data and production workloads.
• Build autonomous systems for reliable reasoning over enterprise data—where correctness, cost, and latency all matter.
• Publish, open-source, and help shape the field.