Software Engineer, ML Research
Role summary
Cursor is seeking a Research Engineer to automate coding by building the training, inference, and data systems for frontier coding models. This role involves working directly with researchers to enhance the repeatability of progress and speed of iteration. Responsibilities include developing distributed training, inference, and RL infrastructure, creating libraries for large-scale data processing, and architecting systems for transforming user data into effective training data. The ideal candidate possesses a strong background in infrastructure and distributed systems, the ability to architect and ship end-to-end solutions with high ownership, and a solid understanding of language models, with an eagerness to learn more about ML.
Engineering · Full-time · San Francisco, New York
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
Cursor 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
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