Senior Deep Learning Engineer, Whole-Body Control

Join Humanoid, a company on a mission to build the world's most capable humanoid robots. As a Senior Machine Learning Research Engineer, you will develop learning-based algorithms for dynamic locomotion and whole-body control on humanoid robots. You will work closely with various engineering teams to turn learned behaviors into reliable capabilities for real-time control.

Responsibilities

• Design and train learning-based locomotion and whole-body control policies for dynamic robotic behaviors.
• Develop motion primitives using different learning-based generative models and apply reinforcement learning, imitation learning, and other learning-based approaches to motion generation and control.
• Build scalable simulation, data generation, and training pipelines using platforms such as Isaac Lab and MuJoCo, and deploy, evaluate, debug, and fine-tune learned policies on physical humanoid robots.