ML Engineer - API Platform
Physical Intelligence5 hours ago
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 scalable systems for thousands of organizations and potentially millions of robots.
- Architect reliable multi-tenant infrastructure covering rate limiting, isolation, backpressure, versioning, observability, and SLOs.
- Create a product experience for partner data from upload through validation, processing, fine-tuning, and evaluation.
- Build and operate low-latency inference systems for models controlling robots in real-world environments.
- Collaborate with researchers to turn evolving model capabilities into stable APIs and tools.
- Improve APIs, tooling, documentation, and abstractions based on partner usage.
- Write production code integrated with Pi’s existing infrastructure and define the developer platform for general-purpose robotics.
Requirements
- Strong software engineering fundamentals and experience building production systems.
- Deep backend and systems experience with APIs, services, databases, caching, distributed systems, and infrastructure.
- Experience building and scaling developer platforms, preferably for model fine-tuning, inference, or compute-intensive workloads.
- Understanding of reliability, latency, multi-tenancy, versioning, observability, and operational complexity at scale.
- Familiarity with deploying, serving, and debugging machine learning models in production; ML research experience is not required.
- Strong Python skills and comfort working across infrastructure and product boundaries.
- Ability to take ambiguous problems from initial end-to-end implementation through scalable system design.
- Bonus experience with low-latency or real-time systems, streaming, inference transport, WebSockets, QUIC, or similar technologies.
- Bonus experience with model-serving, inference, fine-tuning, or developer-platform infrastructure.
- Bonus familiarity with security, authentication, authorization, or multi-tenant infrastructure.
- Bonus experience at an early-stage infrastructure, AI, robotics, or autonomous-systems company.
Tech Stack
Categories
About Physical Intelligence
Physical Intelligence builds general-purpose AI for the physical world, developing foundation models and full-stack robotic systems for robots and other actuated devices. The privately held company was founded in 2024 and focuses on taking designs from prototype to high-volume production, including actuation, mechatronics, and manufacturing process development. Its work aims to power today’s robots and future hardware across industries.