Estimated based on role seniority, company stage (Series C), and industry benchmarks. Actual compensation may vary.
Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).
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.
Cursor is building the future of coding. We train frontier coding agents and scale RL on real user data to make them increasingly effective.
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.
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 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
AI-powered code editor built on frontier language models.
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