Atlas Reinforcement Learning Intern

Are you passionate about using machine learning to drive robot behavior? As an Atlas Reinforcement Learning Intern, you will join a world-class team of engineers and scientists focused on creating robust perception-driven manipulation policies for Atlas. You’ll take on a research project advised by one of our senior research scientists that will allow you to deliver results onto hardware. Responsibilities will include participating in project ideation, implementing your ideas in our existing codebase, working with the Atlas team to deploy your policies on hardware, and measuring progress using manipulation benchmarks. 

How you will make an impact:

• 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, Spot and other BD robots

 We are looking for:

• Actively pursuing a PhD in Computer Science, Machine Learning, Robotics, or a related field

• Prior experience training and deploying learned models to create complex behaviors in robots or simulated characters

• Experience with common ML tools, architectures, and workflow

• Strong analytical and debug skills

Nice to have:

• Experience working with and contributing to large codebases

• Experience working with robot hardware

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