# Software Engineer, RL Data

**Company:** [Cursor](https://hotfix.jobs/companies/cursor)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Skills:** Software Engineering, Reinforcement Learning, Distributed Systems, Data Infrastructure, Agent Evaluation, Dataset Design, Reward Design, Python
**Posted:** 2026-08-27

> Build the tasks, rewards, environments, and data systems used to train and evaluate coding agents. The role requires strong software engineering fundamentals and experience with infrastructure, data, or distributed systems; reinforcement learning experience is a plus.

## Job Description

## Responsibilities
- Design task sets that teach specific coding-agent capabilities and iterate using traces and evaluations.
- Analyze agent traces to identify failure modes and unexpected behaviors.
- Build systems that surface recurring agent behaviors and failures.
- Convert one-off recipes into reusable tools and processes, including improved rewards, cleaner environments, and higher-quality data.
- Partner with research to evaluate whether datasets teach the intended capabilities.

## Requirements
- Strong software engineering fundamentals.
- Ability to write careful, fast code.
- Ability to decompose ambiguous capabilities into concrete, measurable tasks.
- Background in infrastructure, data, or distributed systems.
- Comfort analyzing messy real-world agent behavior and turning it into datasets or tools.

## Nice-to-have
- Reinforcement learning experience.

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