Physicalintelligence
ML Infra Engineer, Modeling
- Confirmed live in the last 24 hours
- No salary listed
- Mid level
- Full-time
- On-site · San Francisco
- Added 1 month ago
About this role
Physical Intelligence is seeking a Machine Learning Infrastructure Engineer to build and optimize the systems that power their large-scale model training. This role focuses on enabling researchers and model engineers to rapidly iterate and deploy foundation models for robotics. Expect a hands-on position at the intersection of ML, software engineering, and scalable infrastructure.
What you'll do
- Design, implement, and maintain training infrastructure.
- Scale JAX-based training across TPU and GPU clusters.
- Profile and improve training performance.
- Build abstractions for experiment management.
- Partner with researchers to translate needs into infrastructure.
- Contribute to core JAX model and training code.
What they're looking for
- JAX
- PyTorch
- Distributed Training
- Cloud Platforms (GCP, AWS)
- Kubernetes
- SLURM
- Software Engineering
- Performance Optimization
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Physicalintelligence
Likely interview questions
- Describe your experience scaling JAX-based training across TPU or GPU clusters.
- Walk me through a time you identified and resolved a performance bottleneck in a machine learning training pipeline.