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
WHY SNOWFLAKE?
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
Snowflake is growing fast, and we are scaling our team to accelerate AI innovation
Are you ready to build the brain for the Enterprise Data Cloud?
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com