Research Engineer, Atlas Behavior Learning

Are you passionate about using reinforcement learning, behavioral cloning, physics simulation, and humanoid robots? Curious what you’d be able to accomplish with total access to Boston Dynamics robots? As a 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: 

• 3+ years of industry experience working on robotics, machine learning or related field

• 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

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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