Jobrow
Saved 0Closed

Index / Cursor

Research Engineer, Synthetic Data

Cursor

Research Engineer, Synthetic 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 2 months 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
2 months 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: Research
  • 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 2 months 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. RESEARCH ENGINEER, SYNTHETIC DATA ABOUT THE ROLE As a Research Engineer on the Synth Data team at SpaceXAI, you’ll invent and scale the synthetic data that teaches our models new capabilities. You own the full loop: spotting a capability the model is missing, designing a data generation strategy, building reliable pipelines and verifiers, and validating that the resulting data actually moves the model. You form hypotheses about what data will help, build the systems to produce it at scale, run ablations, and read the resulting traces and training signals to understand why it worked (or didn’t). Your datasets go directly into frontier training runs, and shape the development of Grok models. WHAT YOU’LL WORK ON - Designing end-to-end synthetic data recipes that turn raw sources (traces, documents, codebases, workflows) into large, diverse, verifiable task sets. - Building strong verification and anti-hacking mechanisms so rewards are simple to compute and hard to game. - Controlling difficulty and diversity so data stays learnable and reflects real usage instead of collapsing into templates. - Running targeted ablations and analyses that demonstrate a dataset caused a capability improvement (and ruling out grader or data artifacts). - Iterating from traces and training results to close specific gaps, then turning successful one-off recipes into reusable infrastructure. - Partnering with research and other RL Data teams to translate model capability goals into concrete synthetic data plans. YOU MAY BE A FIT IF - You have research experience on synthetic or post-training data, in industry or academia. You've designed a data generation method,

Other open roles at Cursor

All open roles at Cursor