Helix AI Engineer, Robot Learning

About this role

Figure AI is seeking a Robot Learning engineer to develop and deploy visuomotor manipulation policies for humanoid robots. You'll work across the full pipeline from real-robot data collection to model training and deployment, focusing on practical real-world performance for tasks like grasping, pick-and-place, and assembly.

What you'll do

• Design, train, and deploy learning-based visuomotor policies for humanoid robot manipulation tasks
• Develop manipulation behaviors including grasping, pick-and-place, object reorientation, and bimanual manipulation
• Apply behavior cloning, reinforcement learning, and VLA techniques to robot control problems
• Manage the complete pipeline from data collection on real robots to model evaluation and deployment
• Collaborate with perception, controls, systems, and hardware teams to integrate policies into the autonomy stack
• Write robust, production-quality software that runs reliably on physical robots

What they're looking for

• Robot manipulation and visuomotor control
• Behavior cloning and reinforcement learning
• Python and/or C++ for robotics and ML
• Deep learning frameworks (PyTorch)
• Real-world robotic system experimentation and debugging
• Classical vs. learning-based robotics tradeoff analysis
• Hands-on robot deployment experience
• Software testing and production system reliability