Hiring: Advisor - Agent Research Company: Eli Lilly and Company Location: San Diego, CA Job Posted Time: 2026-09-02 21:38:07 Employment Type: Hybrid Target Skills & Keywords : MLflow, Make, Reinforcement Learning About the job Required Skills: •We are rebuilding the Design-Make-Test-Analyze (DMTA) cycle, infusing scientific automation with foundation models, multi-agent systems, and robotics to make scientific discovery intelligent, autonomous, and fast. •We're seeking a scientist-engineer hybrid to design the •Of our scientific agent platform. You will design the environments, rewards, and domain-specific models that enable agents to improve based on experimental feedback. You'll translate wet-lab and computational endpoints into a trainable signal to build models that plan and act against them. •Partner with scientists to build autonomous agents that undertake molecule discovery tasks •Design and build reinforcement learning (RL) environments that wrap real discovery tasks with appropriate state, action, and termination semantics. •Curate and engineer reward functions from noisy scientific signal. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!