Embodied AI Lead / Robot Brain Lead

What you'll do

• Design the Robot Brain architecture and roadmap, integrating language-vision models, visuomotor control, and world models.
• Lead model strategy and implementation, including deployment and iterative improvement on at least one robot platform.
• Build and lead a small team; coordinate cross-functional integration, training pipelines, evaluation, safety, and reliability.

What they ask for

• Bachelor’s or higher in CS, Robotics, EE, or a related field.
• 5+ years in ML / robotics, including 2+ years in a lead / tech lead role.
• Deep experience in at least two of the listed areas; the posting lists only one area: deploying ML models on real robotic hardware.
• Strong coding skills in Python and experience with PyTorch or JAX, multi-GPU training; strong written and verbal communication.

Nice to have

• PhD or equivalent industry research experience in Robotics, AI, Machine Learning, or a related field.
• Experience with robotics foundation models or production robot-learning systems, including large-scale data collection, sim-to-real transfer, and continuous learning.

Pay

USD 180,000.00 - USD 250,000.00 base salary

Tools

Python, PyTorch, JAX, VLM, LLM, VLA, RL/BC

AI focus

Leads embodied AI development, including vision-language(-action) models for task understanding and planning, visuomotor control for locomotion and manipulation, world models for predictive safety, and robot-learning deployment.