Software Engineer, ML Research
Cursor·New York, New York, United States | San Francisco, California, United States·posted 200d ago · last seen 43m agoTrack this application
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Get Started FreeAbout interviewing at Cursor
Short and fast: a recruiter screen, then '2-3 short technicals' (Cursor's own job-posting wording), then the signature round — an onsite in their office where you build a real project. CEO Michael Truell has said every engineering and design hire spends two days in-office working on a project: you get a desk, a laptop, a choice of three projects, and a frozen older copy of the real codebase with the dev environment set up, then present what you built. Crucially, first technical screens BAN AI beyond autocomplete ('programming without AI is still a really great time-boxed test for skill and intelligence' — Truell), while the onsite expects you to work with full tooling including Cursor itself. There is no formal behavioral round — the 4-6 meals with the team during the trial are the culture interview. Decisions come fast; the whole loop targets weeks, not months.
Read the full Cursor interview process →Description
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 EngineerCursor is building the future of coding. We train frontier coding agents 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
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