Also available on
Job Description
📋 Description Design and implement model-based RL agents and controllers for industrial systems. Develop learned dynamics and world models with training pipelines. Research safe RL, constrained control, scenario planning, and Bayesian RL. Report findings clearly to internal and external audiences. Collaborate on ambitious research projects and translate results to production. Mentor Research Engineers to apply research to industrial domains. 🎯 Requirements PhD in technical field or equivalent; strong model-based RL background. 2+ years of post-PhD research experience. Extensive research in model-based RL and control theory. Hands-on with simulators and closing the sim-to-real gap. Python and PyTorch; differentiable simulators; distributed compute (Ray/Kubernetes/GCP). Publications in RL, control, or related areas; passion for applying AI to industry. 🎁 Benefits We are a 100% remote company. Competitive compensation and meaningful equity. Unlimited PTO with a minimum of 20 days per year. Paid parental leave (varies by region). Flexible stipends for workspace, wellbeing, and development. Company MacBook.