Machine Learning Engineer - Humanoid Robotics

Responsibilities

• Collaborate with researchers and engineers to define and execute projects in humanoid robotics loco-manipulation and mobile manipulation areas.
• Contribute to the development and advancement of GR00T and Cosmos foundation models.
• Develop reference workflows with Isaac Lab and Newton for humanoid and mobile manipulation dexterous tasks.
• Advance technologies for robot learning and synthetic data generation using human videos.
• Design, implement, and deploy novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments.
• Transfer innovations into products, with deliverables including prototypes, open source software contributions, patents, and/or publications in top conferences and journals.
• Drive the full development lifecycle from model and algorithm design, with sim-to-real transfer, to rigorous on-robot validation and production deployment.
• Collaborate cross-functionally with teammates and partners to share best practices and advance shared goals.
• What we need to see
• This role prioritizes candidates with proven execution bandwidth of applied research and engineering and a strong delivery track record on robotics platforms.

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