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Research Scientist, Atlas Behavior Learning
Job in
Waltham, Middlesex County, Massachusetts, 02254, USA
Listed on 2026-02-16
Listing for:
Boston Dynamics
Full Time
position Listed on 2026-02-16
Job specializations:
-
Software Development
Robotics
Job Description & How to Apply Below
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 Research Scientist on the Atlas Behavior Learning team
, you will join a world‑class team of engineers and scientists focused on creating groundbreaking mobile manipulation behaviors for humanoids.
- Design, train, and deploy state‑of‑the‑art robot learning algorithms to tackle mobile and bimanual manipulation tasks
- Contribute to foundation models shaping the future of humanoid robotics
- Train control policies using RL to solve dexterous manipulation tasks
- Distil many different policies using BC and RL with pixel observations
- Deploy and debug learned policies on Atlas
- MS with 3 years of industry experience or PhD in Computer Science, Machine Learning, Robotics, or a related field
- Extensive experience training and deploying RL policies for complex behaviors on real robots or simulated characters
- Excitement for integrating, running, and evaluating their learned policies on the robot
- In‑depth knowledge about domain randomization to bridge the sim‑to‑real gap
- Strong foundation in Python and modern ML frameworks (e.g., PyTorch and Jax)
- Experience in algorithm design, debugging, and performance optimization
- A PhD or equivalent research experience in reinforcement learning or robotic manipulation
- Publications at top tier venues including RSS, CoRL, Science Robotics, ICLR, NeuRIPS
- Familiarity with behavior cloning and experience training a diffusion policy from images
- Prior experience with student‑teacher training workflows
- 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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