Research Engineer, Atlas Behavior Learning

**Research Engineer** 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, behavioral cloning and physics simulation 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:***** Train RL and BC policies for challenging bi-manual manipulation tasks* Write well documented control code that enables deployment of trained policies to Atlas* Lead development of evaluation frameworks that enable quantitative benchmarking of policies* Work on scalable simulation and data management tools for storing unstructured training data* Collaborate with research scientist on state of the art reinforcement learning and behavioral cloning algorithms****We are looking for:***** MS in Computer Science, Machine Learning, Robotics, or a related field* Excitement for integrating, running, and evaluating their learned policies on the robot* Experience training, deploying and debugging RL policies on real robots* Strong foundation in Python, C++ and modern numerical frameworks

(e.g., PyTorch and Jax)* Experience in databases, compute clusters, kubernetes, docker and CI/CD****The ideal candidate has:***** Extensive experience with training RL policies in simulation with domain randomization* Experience with working in large multi-language code-bases* Experience with writing real-time control software for robots* 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 #J-18808-Ljbffr