9 hours ago
Responsibilities
- Build platforms for creating realistic and diverse reinforcement-learning environments at scale.
- Design end-to-end factories that transform large, heterogeneous raw datasets into training-ready environments.
- Define and automate consistent quality standards for vendor, tutor, acquired, and synthetic data.
- Create self-serve APIs and developer tooling for internal teams and external contributors.
- Partner with research, platform, and external teams to translate model-capability goals into training tasks and environments.
- Own open-ended engineering problems across research, data, and platform functions.
Requirements
- Strong software engineering fundamentals.
- Experience with data platforms, developer tools, distributed systems, or ML infrastructure.
- Ability to convert ambiguous quality standards into concrete automated checks.
- Experience building repeatable pipelines from messy, heterogeneous data.
- Interest in model behavior and the ability to translate capability goals into tasks and experiments.
- Strong cross-disciplinary collaboration and end-to-end ownership.
Categories
Data EngineeringML Engineering
About Cursor
Cursor is an AI-powered code editor and coding assistant from Anysphere, built for professional software engineers and enterprise teams. It combines a VS Code–style editor with integrated AI chat, code generation, and repo-aware refactoring, and is sold via individual, team, and enterprise subscriptions. The company also targets sectors like healthcare and state and local education with field engineers who support evaluations and proofs of concept.