Director, Robot Policy AI ML Job
Core
Develop learned robot policies, task planning, and decision-making systems for autonomous robots operating at the Edge.
Role type
Senior IC AI/ML Engineer (Robotics)
Builds
Robust, efficient AI-based robot policies and Edge AI stacks
Domain
Robotics, Edge AI, Computer Vision
Deliverable
production ML models
Required skills
Learned robot policies, task planning, computer vision, reinforcement learning, imitation learning, hierarchical planning, Python, ROS, PyTorch, TensorFlow, sensor data processing, simulation tools (Gazebo, Isaac Sim, MuJoCo), DevOps/MLOps
Preferred skills
Robot locomotion, kinematics, dynamics, ROS2, industrial robotics, teleoperation, learning from human demonstration, open-source contributions
Technologies
ROS, PyTorch, TensorFlow, Docker, Git, Gazebo, Isaac Sim, MuJoCo, OpenAI Gym, Unreal
Responsibilities
Prototype and deploy AI-based robot policy architectures under latency constraints; Develop task policies using hierarchical planning, imitation learning, or reinforcement learning; Connect planning with low-level controls and high-level semantic reasoning; Test and refine models using real-world and simulated sensor data; Participate in architectural discussions and code reviews; Stay current with AI for robotics trends and integrate advancements
Seniority
Senior, hands-on IC
