Head of Physical AI

📋 Description

• Define a focused Physical AI research and engineering roadmap with clear hypotheses, baselines
• Select the model families to train, adapt, or evaluate; determine when to build internally, use
• Personally design, adapt, train, and evaluate Transformer-based systems for embodied tasks.
• Work across vision-language-action models, multimodal Transformers, robot foundation models, action
• Define sensors, modalities, annotations, data mixtures, coverage, and quality controls required to
• Measure how data quality, diversity, and composition affect model behavior and real-world task

🎯 Requirements

• Deep, hands-on Transformer expertise - personally made material architecture or training decisions
• Physical AI experience - worked on machine learning for a system that perceives or acts in the
• Strong Python engineering skills
• Direct experience with PyTorch or equivalent deep-learning framework
• Ability to read and debug unfamiliar model and training code
• Experience designing controlled experiments and analyzing rollout failures