AI Research Scientist, New Grad – Agents & Reinforcement Learning
Snowflake Inc.· Engineering
US-WA-Bellevue$176k - $230kFull-timePosted 4mo ago
About the role
AI Research Scientist (New Grad) focused on agentic AI and reinforcement learning, building autonomous agents and multi-agent systems inside the Snowflake Data Cloud. Roles include designing agentic frameworks, auto and coding agents, RL-focused research (RLHF, DPO, PPO), data pipelines, and publishing findings.
Responsibilities
- 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
Qualifications
- 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
Skills
Required:Reinforcement learningAgentic architecturesPythonDeep learning frameworksResearch publication
Last updated Jul 16, 2026. Interested? Apply on the company site.
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