Senior AI Research Scientist (Model-based RL)
Tasks
- Apply constrained control
- Apply safe reinforcement learning
- Build production-ready solutions
- Collaborate with engineers and partners
- Communicate research findings
- Conduct scenario planning
- Define new research directions
- Design model based reinforcement learning agents
- Develop learned dynamics models
- Develop scalable experimentation pipelines
- Develop world models
- Implement Bayesian reinforcement learning
- Lead deployment of research initiatives
- Mentor research engineers
Perks/Benefits
- Company-provided equipment
- Medical, dental, and vision insurance
- Paid parental leave
- Professional development stipend
- Remote work flexibility
- Unlimited paid time off
- Workspace stipend
Skills/Tech-stack
Bayesian Reinforcement Learning | Cloud Computing | Constrained Control | Control Theory | Deep learning | Distributed Computing | Docker | GCP | Kubernetes | Learned Dynamics | Learned Dynamics Models | MPC | MPPI | Model Free Reinforcement Learning | Model-based reinforcement learning | Planning Algorithms | PyTorch | Python | Ray | Reinforcement Learning | Safe Reinforcement Learning | Scenario Planning | SciPy | World Models
Education
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