Senior Machine Learning Research Engineer
On-site
Core
Develop learning-based algorithms for dynamic locomotion and whole-body control on humanoid robots.
Role type
Senior Machine Learning Research Engineer (Robotics)
Builds
Learning-based motion primitives and control policies for real-time robot autonomy
Domain
Robotics, Machine Learning, Reinforcement Learning
Deliverable
production ML models
Required skills
Deep learning, Reinforcement learning, Imitation learning, Generative models, Python, PyTorch, Physics-based simulation (Isaac Lab, MuJoCo), Sim-to-real transfer, Real-time control optimization
Preferred skills
Legged robot locomotion, Whole-body control, Loco-manipulation, Motion capture, Trajectory optimization, Large-scale simulation training, Top-tier conference publications
