Senior AI Research Scientist (Model-based RL)

Tasks

• Apply constrained control
• Build production ready AI solutions
• Collaborate with engineers and partners
• Conduct scenario planning
• Define new research directions
• Design model based reinforcement learning agents
• Develop learned dynamics models and world models
• Develop simulation to real world transfer solutions
• Document research findings
• Implement planning based controllers
• Mentor research engineers
• Present research results
• Research safe reinforcement learning methods

Perks/Benefits

• Company provided MacBook
• Flexible stipends
• Fully remote work
• Medical, dental, and vision insurance
• Paid parental leave
• Training programs
• Unlimited paid time off

Skills/Tech-stack

Constrained Control | Control Theory | Deep learning | Distributed Computing | Docker | GCP | Kubernetes | Learned Dynamics | Model Free Reinforcement Learning | Model-based reinforcement learning | Planning Algorithms | PyTorch | Python | Ray | Reinforcement Learning | Safe Reinforcement Learning | SciPy | World Models