ML Infra Engineer, Modeling
Physical Intelligence, San Francisco
The role
In this role you will help scale and optimize our training systems and core model code. You’ll own critical infrastructure for large-scale training, from managing GPU/TPU compute and job orchestration to building reusable and efficient JAX training pipelines. You’ll work closely with researchers and model engineers to translate ideas into experiments—and those experiments into production training runs.
This is a hands-on, high-leverage role at the intersection of ML, software engineering, and scalable infrastructure.