Senior AI Research Scientist (Model-based RL)

📋 Description

• Design, implement, and evaluate model-based RL agents (MPC/MPPI) for industrial control.
• Develop learned dynamics/world models generalizing across systems.
• Research safe RL, constrained control, scenario planning, Bayesian RL for reliability.
• Translate research into production-ready solutions and lead large-scale rollouts.
• Communicate findings via docs, presentations, and discussions.
• Collaborate with researchers, engineers, and partners to apply AI to industrial applications.

🎯 Requirements

• PhD in ML, control systems, CS, or related field; strong model-based RL expertise.
• At least 2 years of post-PhD research experience.
• Deep knowledge of model-based RL, model-free RL, safe RL, planning, world models.
• Experience building/evaluating AI agents with simulators and sim-to-real transfer.
• Strong Python programming with PyTorch and SciPy.
• Experience with scalable experimentation infra (Ray, Kubernetes, Docker, GCP) and strong publications.

🎁 Benefits

• Eligibility for meaningful equity participation.
• Fully remote with cross-time-zone flexibility.
• Medical, dental, and vision insurance (location dependent).
• Unlimited PTO with min 20 days/year.
• Paid parental leave, depending on regional policies.
• Flexible stipends for workspace, wellbeing, and dev; company MacBook.