Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation
Core
Designing and leading the technical direction for a new Robot Learning team focused on whole-body loco-manipulation for precision tasks in heavy manufacturing.
Role type
Senior Machine Learning Engineer (Tech Lead)
Builds
Production ML systems for sim-to-real policy deployment, hybrid physics-ML architectures, and whole-body control stacks for legged platforms.
Domain
Robotics, Heavy Manufacturing, Embodied AI
Deliverable
production ML models
Required skills
Robot learning, Sim-to-real transfer, Hybrid physics-ML control, Technical leadership, Python, C++, Architecture design, Data strategy, Cross-functional collaboration
Preferred skills
Edge inference (TensorRT/ONNX), Loco-manipulation on legged platforms, Precision/surgical robotics, Flow-matching action heads, Visual self-supervised learning, Hierarchical policy design
Technologies
Python, C++, TensorRT, ONNX, PINNs, Neural ODEs, MPC
Responsibilities
Set ML technical direction and architectural choices for perception, reasoning, and action generation; Own architectural workstreams for action-policy learning and policy orchestration; Design hybrid physics-ML architectures for integrated loco-manipulation; Mentor junior and intermediate engineers; Drive phased deployment strategy with hardware and domain teams.
Seniority
Senior, hands-on IC with tech lead responsibilities
