Jobrow
Saved 0Closed

Index / Cursor

Software Engineer, RL Data

Cursor

Software Engineer, RL Data is a still-open role at Cursor on Jobrow. Location: On-site · Palo Alto, CA · Palo Alto · California · United States. Sourced from the company's public Ashby board. First seen 19 days ago; last confirmed 9 days ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
—
Workplace
On-site
Location
Palo Alto, CA · Palo Alto · California · United States
First seen
19 days ago
Last seen
9 days ago
Board
Ashby
Apply

About this role

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not.

  • Function: Engineering
  • Seniority: mid

Location & pay

On-site · Palo Alto, CA · Palo Alto · California · United States No pay range was listed on the public board feed.

Source

Jobrow reads the public Ashby board for Cursor. First seen 19 days ago; last seen 9 days ago. We are not the employer — apply only on the company ATS.

Posting

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. SOFTWARE ENGINEER, RL DATA ABOUT THE ROLE The data behind a model shapes it more than almost anything else. On the RL Data team at SpaceXAI, you decide what that data is for our agents: which problems they practice, what world they practice in, and how they're judged. You'll take a weakness, like an agent that gives up on hard bugs or misuses a calendar API, and turn it into training data that fixes it, then show the next model is measurably better. You form hypotheses about why data is helping or misleading the model, build the systems to test them, run ablations, and read the rollouts to find the bug, shortcut or mismatch behind a result. Every flaw you catch, or miss, shows up in what the next Grok models learn. WHAT YOU’LL WORK ON - Turning a capability gap into thousands of verifiable tasks — for example, planting subtle bugs deep in a real project's dependencies for the agent to root-cause. - Building environments that behave like production: real codebases with their real dependencies, and simulations of apps like email, calendar, and docs that match the real ones down to search, errors, and pagination. - Designing graders for open-ended work that separate good solutions from bad without penalizing valid alternatives or rewarding shortcuts. - Building automated checks that catch reward hacking, leaked answers, broken environments, and paths the real product wouldn't allow, before data reaches training. - Scaling from a thousand hand-checked tasks to millions, with filters and judges you can trust in place of a person reading each one YOU MAY BE A FIT IF - You have strong software engineering fundamentals, and you've built non-trivial

Other open roles at Cursor

All open roles at Cursor