Join Cursor as a Software Engineer on the RL Environments team to build realistic training environments for reinforcement learning, working at the intersection of research, data, and engineering.
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.
What You’ll Work On
- Building platforms that allows us to build complex, realistic, and diverse RL environments at scale, that support end-to-end tasks across knowledge-work domains.
- Designing end-to-end factory that turns massive raw data into useful and realistic environments.
- Defining and applying consistent quality standards across vendor, tutor, acquired, and synthetic data.
- Creating self-serve APIs and tooling that accelerate task and environment development for internal teams and external contributors.
- Partnering across research, platform, and external teams to translate model-capability goals into effective training tasks and environments.
You May Be A Fit If
- You have strong software engineering fundamentals and experience with data platforms, developer tools, distributed systems, or ML infrastructure.
- You can turn ambiguous quality standards into concrete, automated checks.
- You’re comfortable building repeatable pipelines from messy, heterogeneous data.
- You care about model behavior and can translate capability goals into tasks and experiments.
- You collaborate well across disciplines and own open-ended problems end to end.