Software Engineer, ML Platform

About this role

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 Cursor, 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, build, and operate core platform systems used daily by ML researchers and product engineers
• Partner closely with research to turn recurring pain into durable infrastructure
• Own reliability, performance, and developer experience for the systems in your lane
• Ship iteratively in a flat, high-ownership environment. Measure impact, then raise the bar

## You may be a fit if

• You have a ...