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Research Scientist, Atlas Behavior Learning

Job in Waltham, Middlesex County, Massachusetts, 02254, USA
Listing for: Boston Dynamics
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    Robotics
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
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.

In This Role, You Will Be Responsible For
  • 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
We Are Looking For
  • 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
The Ideal Candidate Has
  • 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
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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