Senior AI Research Scientist (Model-based RL)
Tasks
- Apply Bayesian reinforcement learning
- Apply constrained control
- Apply safe reinforcement learning
- Collaborate with engineers and partners
- Communicate research findings
- Define new research directions
- Design model based reinforcement learning agents
- Develop learned dynamics models
- Develop world models
- Implement planning based controllers
- Lead rollout of research initiatives
- Mentor research engineers
- Perform scenario planning
- Translate research into production solutions
Perks/Benefits
- Company provided MacBook
- Dental insurance
- Flexible stipends
- Flexible time zones
- Fully remote
- Medical insurance
- Paid parental leave
- Remote-first culture
- Training programs
- Unlimited paid time off
- Vision insurance
Skills/Tech-stack
Cloud Platforms | Constrained Control | Control Theory | Deep learning | Distributed Computing | Docker | GCP | Kubernetes | Learned Dynamics | Learned Dynamics Models | Model Free Reinforcement Learning | Model-based reinforcement learning | Planning Algorithms | PyTorch | Python | Ray | Reinforcement Learning | Safe Reinforcement Learning | SciPy | Simulation to Real | Simulation to Real World | World Models
Education
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