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Research Engineer Synthetic Dataengineering·full-Time·san Franciscoapply →

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Posted 13 de octubre de 2026Source: cursor

Job Description

CareersResearch Engineer, Synthetic DataEngineering · Full-time · San FranciscoApply↓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 DataAbout the RoleAs 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 onDesigning 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 ifYou have research experience on synthetic or post-training data, in industry or academia. You've designed a data generation method, shipped the data into training, and can show its impact to the model you’re training.You have strong software engineering fundamentals and have built non-trivial data pipelines, agent systems, or evaluation frameworks.You have taste for what makes a good training task: hard enough to teach something real, simple enough to grade reliably, and resistant to reward hacking.You are careful and systematic — understanding both aggregate metrics and close reading of raw outputs.You enjoy turning messy, open-ended problems into repeatable, high-quality data production systems.ApplyingIf there appears to be a fit, we'll reach out to schedule 2-3 short technicals. After, we'll schedule an onsite in our office, where you'll work on a small project, discuss ideas, and meet the team.Apply for this roleName Email Resume↥ Upload fileLinkedIn URLGitHub ProfilePlease write a short note on a project you're proud of:Will you now or in the future require visa sponsorship to work in the country where this position is located?*YesNoU.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION (Completion is voluntary and will not subject you to adverse treatment)Anysphere, Inc. provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.We invite all applicants to voluntarily self-identify their race, ethnicity, and gender. Submission of the information on this form is strictly voluntary and refusal to provide it will not subject you to any adverse treatment. Information obtained will be retained in a confidential file and separate from personnel records. This information may only be used in accordance with the provision of applicable federal laws, executive orders, and regulations. If you want more information about any of the sections, please check with a company representative.GenderMaleFemaleDecline to self-identifyRaceHispanic or LatinoWhite (Not Hispanic or Latino)Black or African American (Not Hispanic or Latino)Native Hawaiian or Other Pacific Islander (Not Hispanic or Latino)Asian (Not Hispanic or Latino)American Indian or Alaska Native (Not Hispanic or Latino)Two or More Races (Not Hispanic or Latino)Decline to self-identifySELF-IDENTIFICATION OF VETERAN STATUS (Completion is voluntary and will not subject you to adverse treatment)If you believe that you belong to any of the following categories of protected veterans, please indicate by making the appropriate selectionDisabled veteran – A veteran who served on active duty in the U.S. military and is entitled to disability compensation (or who but for the receipt of military retired pay would be entitled to disability compensation) under laws administered by the Secretary of Veterans Affairs, or was discharged or released from active duty because of a service-connected disabilityRecently separated veteran – A veteran separated during the three-year period beginning on the date of the veteran's discharge or release from active duty in the U.S military, ground, naval, or air serviceActive duty wartime or campaign badge veteran – A veteran who served on active duty in the U.S. military during a war, or in a campaign or expedition for which a campaign badge was authorized under the laws administered by the Department of DefenseArmed forces service medal veteran – A veteran who, while serving on active duty in the U.S. military, ground, naval, or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985 (61 Fed. Reg. 1209).Veteran StatusI identify as one or more of the classifications of protected veteran listed aboveI am not a protected veteranI decline to self-identify for protected veteran statusHas someone at Cursor or Graphite referred you for this role? If so, please include their email hereSubmit application →