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