Technical Lead Manager, Physical AI
Core
Lead a team of Physical AI researchers to develop and evaluate Large-Scale Foundation Models (VLAs, World models) for robots and autonomous vehicles, bridging ML research with physical robot deployment.
Role type
Senior Technical Lead Manager (hands-on IC)
Builds
Production-ready Physical AI features and models for Scale's partners (robots, AVs)
Domain
Physical AI / Embodied AI / Robotics
Deliverable
production ML models
Required skills
PyTorch, Transformer architectures, Self-Supervised Learning, Vision-Language Models (VLMs), Diffusion Models, Reinforcement Learning, multi-modal sensor fusion, large-scale distributed training
Preferred skills
First-author publications at top-tier AI/ML conferences, hardware generalization across robot types, Sim-to-Real experience with high-fidelity simulators
Technologies
PyTorch, CLIP, PaLM-E, Isaac Gym, MuJoCo
Responsibilities
Direct research into scaling laws for Physical AI; develop novel methods for VLA and World model development; actively write code to implement, train and test SOTA architectures; mentor a team of 4-6 elite Physical AI researchers; translate research from NeurIPS, ICRA, and CVPR into production-ready features
Seniority
Senior, hands-on IC