Snowflake AI Research Scientist New Grad – Agents & RL | Bellevue | $176k–$230k

Key Facts

Overview

This Bellevue role sits where agentic AI meets reinforcement learning inside the Snowflake Data Cloud. You design frameworks that let agents refine themselves, build coding and auto-research agents, and run RLHF, DPO, and PPO work that changes how enterprises automate.

The posting expects research that can also show up in production systems used at enterprise scale, with a path to publish at venues such as NeurIPS, ICML, ICLR, or ACL.

Eligibility / Key Requirements

• PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field (completing, recently completed, or equivalent research experience)
• Foundational RL experience (RLHF, DPO, PPO, or multi-agent systems)
• Research in LLM post-training, fine-tuning, or reasoning models
• Ability to implement agentic architectures (tool use, planning, self-correction)
• Python plus PyTorch or JAX; at least one first-author or co-authored publication or preprint in a relevant AI/ML area

How to Apply

1. Open the official application from EduBard’s Apply button.
2. Create or sign in to your employer account.
3. Submit your resume and any required materials before the window moves.

Compiled from the official posting; verify details on the employer site before applying.