Software Engineer, ML Research
Cursor · On-site
MeritLog read this listing from Cursor's Ashby job board and last checked it on September 12, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- Not listed by source
- Location
- San Francisco
- Occupation
- Software Developers(O*NET 15-1252.00)
- Company website
- cursor.com
Hiring context
How this role compares at Cursor
Cursor has 127 live roles in MeritLog’s catalog across 8 job families, and 8 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.
Cursor concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd 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 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
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job 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 ENGINEER Cursor 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
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