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ML Engineer - API Platform

Physical Intelligence · San Francisco

CHECKED 14H AGO

Roboticsonsite
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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
More about Physical Intelligence →
Apply on the lab’s site ↗