About this opportunity
Snowflake lists this AI Research Scientist, New Grad – Agents & Reinforcement Learning opportunity in bellevue, Washington. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We are hiring an AI Research Scientist (New Grad) for our AI Research team. Our team is pushing the frontier of autonomous, self‑improving AI systems — building agents that reason, code, and learn at scale inside the Snowflake Data Cloud. This role sits at the intersection of agentic AI and reinforcement learning, where your research will directly shape how enterprises leverage intelligent automation.
AS AN AI RESEARCH SCIENTIST AT SNOWFLAKE, YOU WILL:
Design and develop agentic frameworks powered by recursive self‑improvement loops, enabling AI systems that iteratively refine their own capabilities and strategies
Build and evaluate autonomous research agents — systems capable of autonomously formulating hypotheses, executing experiments, and synthesizing findings
Develop coding agents that understand, generate, and debug code across complex, multi‑step programming tasks
Conduct research in reinforcement learning with a focus on RLHF, DPO, and PPO as mechanisms for aligning and improving agentic behaviors
Contribute to multi‑agent systems where specialized agents collaborate, negotiate, and self‑organize to solve enterprise‑scale problems
Develop and curate training data pipelines — both synthetic and human‑annotated — to support novel agentic and RL research domains
Publish research findings at top‑tier venues such as NeurIPS, ICML, ICLR, and ACL
OUR IDEAL AI RESEARCH SCIENTIST WILL HAVE:
PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field (completing or recently completed; or equivalent research experience)
Foundational expertise in reinforcement learning algorithms, including RLHF, DPO, PPO, or multi‑agent systems
Research experience in LLM post‑training, fine‑tuning, or reasoning model development
Demonstrated ability to implement and experiment with agentic architectures — including tool‑use, planning, and self‑correction loops
Proficiency in Python and at least one deep learning framework (PyTorch or JAX strongly preferred)
Strong mathematical and analytical foundation — comfortable working at the intersection of theory and empirical research
At least one first‑author or co‑authored publication or preprint in a relevant AI/ML area
BONUS POINTS FOR THE FOLLOWING:
Hands‑on experience building or evaluating coding agents or autonomous research agents
Familiarity with recursive self‑improvement frameworks or automated AI scientist paradigms
Experience with large‑scale distributed training or efficient training paradigms
Background in mathematical reasoning, structured decision‑making, or program synthesis
Exposure to domain‑specific AI applications in healthcare, finance, or enterprise workflows
Snowflake’s AI Research team operates at the frontier of what autonomous AI systems can do — not as a research lab disconnected from practice, but as a team where your work ships into a platform used by thousands of enterprises. You’ll be working alongside researchers and engineers building the next generation of agentic infrastructure, with access to large‑scale compute, real‑world data challenges, and the shortest possible path from research idea to product impact.
For a new grad role, this is a rare opportunity to grow your research career while contributing to systems that actually run in production — shaping how AI agents reason, learn, and improve themselves inside the world’s leading data cloud.
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
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Worksite address
bellevue, WA, 98009, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.