Software Engineer, RL Data Engineering · · San Francisco Apply →

Anysphere; San Francisco, Northern (CA, KY); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Anysphere is seeking a Software Engineer, Reinforcement Learning to join our RL Data team and help design tasks, rewards, and environments that train coding agents. You will influence how we measure progress, curate data, and push the boundaries of what our models can learn.

You will iterate on traces and failure modes, turning insights into reusable pipelines and environments for multiple teams across the company.

Qualifications

• 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.

Responsibilities

• 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.

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.

Software Engineer, Reinforcement learning

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

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.

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