AI Research Scientist, New Grad – Agents & Reinforcement Learning

SLAS (Society for Laboratory Automation and Screening) is seeking an AI Research Scientist (New Grad) for their AI Research team. This role involves pushing the frontier of autonomous AI systems, focusing on agentic AI and reinforcement learning to shape how enterprises leverage intelligent automation.

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