Jobs / United States / Anysphere UK Ltd
Software Engineer, ML Research
Anysphere UK Ltd · 🇺🇸 San Francisco; New York
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer does not appear with approvals in the government data SponsorApply holds.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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Sponsor Radar — Anysphere UK Ltd
This employer does not appear with approvals in the government data SponsorApply holds.
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About the 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. RESEARCH ENGINEER SpaceXAI is building the future of coding. We train frontier coding agents https://cursor.com/blog/composer and scale RL on real user data to make them increasingly effective. ABOUT THE ROLE We’re looking for Research Engineers to build the training, inference, and data systems behind our frontier coding models. You’ll work directly with researchers to make progress repeatable and iteration fast. WHAT YOU’LL DO - Build our distributed training, inference, and RL infrastructure - Write libraries to simplify how researchers do large-scale data jobs - Architect the systems that turn Cursor user data into effective training data YOU MAY BE A FIT IF - You have a strong infrastructure/distributed systems background - You are able to architect and ship end-to-end with high ownership - You have strong intuitions about how language models work - You’re excited to learn more about ML #LI-DNI