Verified current Job

Software Engineer, RL Data

Cursor currently lists the Software Engineer, RL Data opportunity in San Francisco on its public Ashby job board. The official posting provides a direct application route.

Job Full source details
Cursor San Francisco Source published Aug 27, 2026 Verified 2 weeks ago
✓ 100% verification score · Source: Cursor · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFullTime
DepartmentEngineering

Overview

Cursor currently lists the Software Engineer, RL Data opportunity in San Francisco on its public Ashby job board. The official posting provides a direct application route.

Full job description

Official role information

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. SOFTWARE ENGINEER, REINFORCEMENT LEARNING 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 As a Software Engineer on the RL Data team at Cursor, you'll create the tasks, rewards, and environments that train our coding agents. The team owns the data that goes into training: what the model is asked to do, how we score it, and the setups it learns in. WHAT YOU’LL DO - Designing a task set that teaches a specific agent capability, then iterating on it from traces and evals until the model actually gets better. - Reading a pile of agent traces, finding a failure mode or a surprising behavior, and building a system that surfaces more of the same. - Turning a one-off recipe into something other teams can reuse: better rewards, cleaner environments, tighter data quality. - Partnering with research on whether a dataset is actually teaching the thing we think it is. YOU MAY BE A FIT IF - You write careful, fast code and have strong software engineering fundamentals. - You like setting tasks: breaking a fuzzy capability into something concrete you can measure. - You have an infra, data, or distributed systems background. RL experience is a plus, not a requirement. - You enjoy looking at messy real-world agent behavior and turning it into a dataset or a tool. Compensation information {'compensationTierSummary': None, 'scrapeableCompensationSalarySummary': None, 'compensationTiers': [], 'summaryComponents': []}

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