Engineering · Machine Learning
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code.
ABOUT THE ROLE
As a Software Engineer on ML Platform at SpaceXAI, you'll build the infrastructure that turns real product usage into better models — and keeps research moving fast on large GPU fleets. ML Platform is organized into four teams. Depending on your background, you may join any of them:
- Telemetry — Own the collection and serving path that turns real product use into a record research can trust; without slowing the product, and under a small, explicit policy. Client-side or high-volume ingestion experience is a plus.
- ML Data Platform — Build the shared environments and pipeline substrate researchers extend, so new experiments don’t fork their own stack.
- Observability — Make it easy for researchers to start, watch, and debug their own runs.
- ML DevX and Systems — Shorten the path from idea to a trusted run on the research fleet.
We're looking for strong distributed-systems and infrastructure engineers who want to sit next to research and ship platform primitives that move the product.
We're in-person with cozy offices in North Beach, San Francisco, Palo Alto, and Manhattan, New York, complete with well-stocked libraries.
WHAT YOU’LL DO
- Design, bu