Robotics Applied Research Lead
Core
Lead Humanoid's AI research and engineering function to develop Transformer-based models for embodied tasks and deploy them on physical humanoid robots.
Role type
Senior IC research lead (Physical AI / Robotics)
Builds
Transformer-based robot policies, multimodal foundation models, and evaluation systems for industrial humanoid robots.
Domain
Robotics, Physical AI, Machine Learning
Deliverable
production ML models
Required skills
Transformer architecture design and training, Physical AI / embodied systems experience, Python, PyTorch, Technical leadership, Evaluation design, Computer Vision
Preferred skills
VLA / robotic foundation models, Imitation learning, Reinforcement learning, Computer Vision (VLMs, 3D reasoning)
Technologies
PyTorch, Transformers, Vision-Language-Action models, Diffusion models
Responsibilities
Define research roadmap and select high-value technical bets; Design, adapt, and train Transformer systems for embodied tasks; Define data strategy including sensors, modalities, and quality controls; Establish offline and real-world evaluation systems; Move projects from definition to physical system deployment and testing; Build and lead a small research and engineering team.
Seniority
Senior, hands-on IC
