AI Research Scientist (New Grad) (AI)

TL;DR

AI Research Scientist (New Grad) (AI): Designing and developing autonomous AI agents and reinforcement learning frameworks within the Snowflake Data Cloud with an accent on recursive self-improvement, RLHF, and multi-agent collaboration. Focus on building coding and research agents that can autonomously reason, execute experiments, and synthesize findings.

Location: US-WA-Bellevue

Salary: $176K – $230K

Company

Snowflake is a leading data cloud company powering the era of the agentic enterprise through a culture of impact and innovation.

What you will do

• Design and develop agentic frameworks powered by recursive self-improvement loops.
• Build and evaluate autonomous research agents capable of formulating hypotheses and synthesizing findings.
• Develop coding agents to handle complex, multi-step programming tasks.
• Conduct research in reinforcement learning, focusing on RLHF, DPO, and PPO for behavior alignment.
• Contribute to multi-agent systems where specialized agents collaborate to solve enterprise-scale problems.
• Publish research findings in top-tier venues such as NeurIPS, ICML, ICLR, and ACL.

Requirements

• PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field (recent or completing).
• Foundational expertise in reinforcement learning algorithms (RLHF, DPO, PPO) or multi-agent systems.
• Research experience in LLM post-training, fine-tuning, or reasoning model development.
• Ability to implement 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).
• At least one first-author or co-authored publication or preprint in a relevant AI/ML area.

Nice to have

• Hands-on experience building or evaluating coding 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.

Culture & Benefits

• Opportunity to work at the frontier of autonomous AI systems with a direct path from research to production.
• Access to large-scale compute and real-world data challenges within the Snowflake Data Cloud.
• Collaborative environment alongside world-class researchers and engineers.
• Fast-paced, innovation-driven culture that values experimental mindsets and low-ego collaboration.