ML Engineer - API Platform
Physical Intelligence · San Francisco
CHECKED 14H AGO
Roboticsonsite
At a glance
Highlights
- Build the API platform that puts Pi's foundation models into real-world robots.
- Scale partner onboarding from hands-on work to self-serve fine-tuning.
- Operate low-latency inference systems controlling robots in live environments.
Ideal candidate
A product-minded backend engineer who loves building developer platforms end to end and thrives on ambiguity and ownership. You care about turning cutting-edge models into intuitive, reliable tools that scale to thousands of users.
Requirements
- Strong software engineering fundamentals with experience building production systems
- Deep backend and systems experience across APIs, services, databases, caching and distributed systems
- Experience building and scaling developer platforms for compute-intensive workloads like fine-tuning or inference
- Understanding of scaling challenges including reliability, latency, multi-tenancy, versioning and observability
- Familiarity with deploying, serving and debugging ML systems in production
- Strong Python skills with ability to work across infrastructure and product boundaries
- High ownership and comfort taking ambiguous problems end to end
Lab profile
About Physical Intelligence
Developing general-purpose AI foundation models to power robots for any physical task.
What they build
- General-purpose robot foundation models
- Learning algorithms for robot control
- Robotic systems and platforms
Known for
- Foundation model and system-building research
- Large-scale multimodal robot data operations
- Real-world fleet deployment and operations
- Prototype-to-production hardware engineering