ML Engineer - API Platform

Physical Intelligence is building an API platform that enables external users to access and use its robotics models. The role focuses on developing the model API, scalable infrastructure, inference systems, and partner-facing tools that support data ingestion, fine-tuning, evaluation, and deployment.

Responsibilities:

• Build Pi’s model API end to end, including data ingestion, fine-tuning, evaluation, low-latency remote inference, partner-facing tools, and deployment integrations
• Design systems that can scale from a small number of deeply integrated partners to thousands of organizations and potentially millions of robots
• Architect reliable, multi-tenant infrastructure around rate limiting, isolation, backpressure, versioning, observability, and SLOs
• Turn partner data into a first-class product experience, from initial upload through validation, processing, fine-tuning, and evaluation
• Build and operate low-latency inference systems that allow Pi models to control robots running in real-world environments
• Work closely with researchers to turn new model capabilities into stable, usable product surfaces
• Learn from how partners use the platform and turn recurring friction into better APIs, tooling, documentation, and abstractions
• Write high-quality production code that integrates deeply with Pi’s existing infrastructure
• Define what the developer platform for general-purpose robotics should look like. There is no established playbook for this yet