Are you passionate about using machine learning to drive robot behavior? Curious what you’d be able to accomplish with total access to Boston Dynamics robots?
As a Reinforcement Learning Research Scientist on the Atlas team, you will join a world-class team of engineers and scientists focused on creating groundbreaking mobile manipulation behaviors for humanoids. We are investing in reinforcement learning (RL) as a key technology for achieving robust whole-body manipulation that can be deployed in real-world environments. In this role, you will be responsible for architecting, training, and deploying learned models to expand the capabilities of Atlas to solve challenging manipulation tasks. Come help us redefine the state of the art in humanoid RL!
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
We are looking for:
MS in Computer Science, Machine Learning, Robotics, or a related field
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
Nice to have:
PhD in Computer Science, Machine Learning, Robotics, or a related field
Experience working with and contributing to large codebases
Experience working hands on with robot hardware
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What We Do
Boston Dynamics builds advanced mobile manipulation robots with remarkable mobility, dexterity perception and agility. We use sensor-based controls and computation to unlock the potential of complex mechanisms. Our world-class development teams develop prototypes for wild new concepts, do build-test-build engineering and field testing and transform successful designs into robot products. Our goal is to change your idea of what robots can do.
