Senior AI Research Scientist (Model-based RL)

📋 Description

• Design, implement, and evaluate model-based RL agents for industrial control.
• Develop learned dynamics and world models across different systems.
• Research safe RL, constrained control, scenario planning, Bayesian RL.
• Translate research into production solutions and rollout.
• Communicate findings via docs, presentations, and discussions.
• Collaborate with research teams, engineers, and external partners.

🎯 Requirements

• PhD in ML/controls/CS or related field, or equivalent experience.
• At least 2 years of post-PhD research experience.
• Deep knowledge in model-based RL, safe RL, planning, world models, or control theory.
• Experience building AI agents using simulators and sim-to-real transfer.
• Strong Python, PyTorch, and SciPy experience.
• Experience with scalable experimentation environments: Ray, Kubernetes, Docker, or GCP.

🎁 Benefits

• Fully remote with flexible time zones.
• Eligibility for meaningful equity participation.
• Health insurance (medical, dental, vision) varies by location.
• Unlimited PTO with a minimum of 20 days per year.
• Paid parental leave, depending on regional policies.
• Flexible stipends for workspace, wellbeing, and development.