At Boston Dynamics, we’re pushing the boundaries of what robots can do—and we’re looking for curious, driven, and collaborative researchers to join us. As a Research Scientist on the Atlas Behavior Learning team, you’ll be part of a world-class group building groundbreaking whole-body manipulation capabilities for next-generation humanoids.
Whether you’re finishing your PhD or have a Master’s degree with hands-on experience in industry or research, this role offers a rare chance to apply cutting-edge ML to physical robots with full access to Atlas, our state-of-the-art humanoid platform.
How you will make an impact:
Design, train, and deploy reinforcement learning models to tackle challenging mobile and bimanual manipulation tasks
Develop high-quality, production-ready code in Python and C++
Test and iterate your models directly on real robot hardware
Collaborate closely with expert engineers and researchers through design reviews and hands-on experimentation
Contribute to a growing body of work shaping the future of humanoid robotics
We are looking for:
An MS or PhD in Computer Science, Robotics, Machine Learning, or a related field
Experience training and deploying RL policies for complex behaviors—either in simulation or on real robots
Familiarity with modern ML frameworks and tools (e.g., PyTorch, TensorFlow, Ray RLlib)
A strong foundation in algorithm design, debugging, and performance optimization
Nice to have:
A PhD or equivalent research experience in reinforcement learning or robotic manipulation
Experience working with real-world robotic systems
Contributions to large software projects or open-source ML/robotics tools
Why join us?
Direct access to cutting-edge robots and the infrastructure to run large-scale experiments
A collaborative, mission-driven team where your ideas have real impact
The chance to help define what’s possible in real-world robotics
#LI-JM1
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Company:
Boston DynamicsEmployee Type:
Full timeLocation:
United StatesSalary:
$ 163548 - $ 303732