Principal ML Engineer (Robotics)
Core
Developing multimodal ML models and robot learning systems (RL, IL) for dexterous manipulation and autonomous tasks.
Role type
Principal Machine Learning Engineer (Robotics)
Builds
Dexterous robots with rich sensing modalities (vision, audio, tactile, spatial) for industrial challenges.
Domain
Robotics, Physical AI, Industrial Automation
Deliverable
production ML models
Required skills
Reinforcement Learning, Imitation Learning, Large-scale model training, PyTorch, Multi-GPU cluster management, Software development for deployable ML systems, Data lifecycle management
Preferred skills
Foundation models, World models, Vision-Language-Action models (VLAs), ROS/ROS2, Isaac Sim
Technologies
PyTorch, DeepSpeed, ROS, ROS2, Isaac Sim
Responsibilities
Lead development of robot learning models (RL, IL), Design simulation environments and evaluation frameworks, Optimize and deploy trained policies onto real-world robots, Solve system-level performance bottlenecks, Contribute to full data lifecycle from collection to pipeline optimization, Build reusable software frameworks
Seniority
Principal, hands-on IC with strategy & mentorship
