Senior AI Research Scientist (Model-based RL)

Tasks

• Apply safe reinforcement learning and constrained control
• Build planning based controllers
• Collaborate with engineers and external partners
• Communicate research results
• Conduct scenario planning
• Design model based reinforcement learning agents
• Develop learned dynamics models
• Develop production-ready solutions
• Mentor research engineers
• Research Bayesian reinforcement learning
• Translate research into deployable systems

Perks/Benefits

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

Skills/Tech-stack

Bayesian Reinforcement Learning | Cloud Computing | Cloud platform | Constrained Control | Control Theory | Deep learning | Distributed Computing | Docker | Google Cloud | Google Cloud Platform | Kubernetes | Learned Dynamics | Learned Dynamics Models | MPPI | Model Free Reinforcement Learning | Model-Predictive Control | Model-based reinforcement learning | Planning Algorithms | Predictive control | PyTorch | Python | Ray | Reinforcement Learning | Safe Reinforcement Learning | Scenario Planning | SciPy | World Models