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. 

We are investing in reinforcement learning (RL) and behavioral cloning (BC) as a key technology for achieving dexterous and robust whole-body manipulation that can be deployed in real-world environments. 

In this role, you will be responsible for:

• Design, train, and deploy state of the art robot learning algorithms to tackle mobile &cz 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

• Deploying and debugging 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

• Has in-depth knowledge about domain randomization to bridge the sim-2-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 has trained 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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