Senior AI Research Scientist (Model-based RL)
Tasks
- Build training pipelines for world models
- Design model based reinforcement learning agents
- Develop learned dynamics and world models
- Evaluate agents in simulators and close sim to real gap
- Implement constrained control and scenario planning
- Implement planning based controllers
- Mentor research engineers
- Organize collaborative research projects
- Report and present research results
- Research Bayesian reinforcement learning
- Research safe reinforcement learning methods
- Translate research to production outcomes
Perks/Benefits
- Company MacBook
- Flexible stipends
- Medical/Dental/Vision insurance
- Paid parental leave
- Professional development
- Remote work
- Training
- Unlimited paid time off
Skills/Tech-stack
Bayesian Reinforcement Learning | Cloud platform | Constrained Reinforcement Learning | Control Theory | Deep learning | Docker | Google Cloud | Google Cloud Platform | Kubernetes | Learned Dynamics | Model-Predictive Control | Model-based reinforcement learning | Planning Algorithms | Predictive control | PyTorch | Python | Ray | Reinforcement Learning | Safe Reinforcement Learning | SciPy | Sim-to-Real | World Models
Education
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