Senior Research Scientist, Humanoid Manipulation

What you'll do

• Lead research projects, design experiments and benchmarks, and validate capabilities on physical humanoid robots.
• Develop robotics foundation models and learning methods, including for dexterous manipulation, generalization, and cross-embodiment transfer.
• Partner with engineering and systems teams to build scalable training pipelines, deploy reliable capabilities, and guide technical direction.

What they ask for

• PhD in Robotics, Computer Science, Machine Learning, Electrical Engineering, Mechanical Engineering, or a closely related field.
• Strong research record in robot learning, manipulation, reinforcement learning, imitation learning, multimodal learning, or a related area.
• Experience training and evaluating modern deep-learning models using PyTorch.
• Experience deploying and evaluating learning-based methods on physical robotic systems.

Nice to have

• Research experience with humanoid robots, bimanual systems, or multi-fingered robotic hands.
• Experience developing robotic foundation models, multimodal transformers, diffusion or flow-based policies, or other large behavior models.

Pay

USD 150,000–300,000 (per-year-salary) — base salary

Tools

PyTorch

AI focus

Research and deploy robotics foundation models and multimodal behavior models for humanoid manipulation, including reinforcement learning, imitation learning, model adaptation, and transfer across robotic platforms.