Solve real-world bimanual manipulation problems using machine learning to drive robot behavior
Requirements
- Prior experience training and deploying RL policies for complex behaviors in robots or simulated characters
- Experience with common ML tools, architectures, and workflows
- Strong analytical and debug skills
- MS in Computer Science, Machine Learning, Robotics, or a related field
Responsibilities
- Creatively apply machine learning to solve real-world bimanual manipulation problems
- Write high-quality (documented, tested, maintainable) Python and C++ code
- Lead design reviews and collaborate closely with members of the Atlas software team
- Deploy and debug your code on Atlas
Other
- MS in Computer Science, Machine Learning, Robotics, or a related field
- PhD in Computer Science, Machine Learning, Robotics, or a related field
