AI Research Scientist, New Grad – Agents & Reinforcement Learning

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 auto 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 auto 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

WHY JOIN OUR AI RESEARCH TEAM AT SNOWFLAKE?

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 who are 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.

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