Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation
Core
Designing and deploying whole-body loco-manipulation systems for precision tasks in heavy manufacturing using embodied AI.
Role type
Senior Machine Learning Engineer (Tech Lead)
Builds
Production sim-to-real policies, 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), Hybrid physics-ML architectures, Whole-body control, Visual reasoning, Python, C++, System identification, Domain randomization, Policy training, Data strategy, Technical leadership
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, Building ML infrastructure from scratch
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; Drive cross-functional partnerships and phased deployment strategies; Mentor junior engineers and establish code-quality standards
Seniority
Senior, hands-on IC with technical leadership
