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
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