Research Scientist, Atlas Behavior Learning

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
* 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
** 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.
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