ashby
Software Engineer, ML Platform
Cursor
San Francisco, USA
Full-time
Mid
Onsite
Discovered 1 weeks ago
flinkkuberneteslinuxopentelemetryspark
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
flinkkuberneteslinux
Role Overview
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.
Key Skills for This Role
flinkkuberneteslinuxopentelemetryspark
Full Job Posting
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.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Cursor
Sales Development Representative - ANZ
Sydney, AUS
Discovered TodayFull-time
Sales Development Representative - ANZ
, AUS
Discovered TodayFull-time
GTM Applications Engineer
San Francisco, USA
Discovered TodayFull-time
Software Engineer, RL Environments
San Francisco, USA
Discovered TodayFull-time
Software Engineer, Research Tools
San Francisco, USA
Discovered TodayFull-time
Deal Desk Analyst - Americas
San Francisco, USA
Discovered TodayFull-time
Software Engineer, RL Environments
San Francisco, USA
Discovered TodayFull-time
Software Engineer, Research Tools
San Francisco, USA
Discovered TodayFull-time
