Machine Learning Research Scientist - Robotics, Trustworthy Learning under Uncertainty (TLU)
Tasks
- Apply active learning and continual learning
- Collaborate with research scientists and engineers
- Conduct research on reliable robust adaptive deployment of machine learning models for robot manipulation
- Contribute open source software
- Design planning and control methods for robotic manipulation
- Develop large behavior models for robotics
- Estimate uncertainty and detect out of distribution inputs
- Implement failure detection and mitigation
- Perform rigorous policy evaluation
- Publish results in conferences and journals
Perks/Benefits
- 401k eligibility
- Annual cash bonus
- Dental insurance
- Medical insurance
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
Active Learning | Continual Learning | Control | Failure Detection | Generative Modeling | Imitation Learning | Machine Learning | Multimodal Learning | Online Learning | Out-of-distribution Detection | Planning | Policy Evaluation | PyTorch | Python | Reinforcement Learning | Robot Manipulation | Robotics | Robust machine learning | Safety-Aware Machine Learning | Statistics | Uncertainty Estimation | Unix
Education
Regions
Countries
States
Cities
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