Full Stack Engineer, ML Research Tools
AI · 6 roles open in software and data
- Location: San Francisco
- Pay: Pay not stated
- Posted: Posted
About the role
The team builds and maintains tools for researchers and contributors to create, review, and monitor reinforcement learning tasks. The engineer in this role develops full-stack products for task submission, review, and authoring interfaces, aiming to streamline the process from idea to training data.
Our summary of the posting; the original is on the Cursor careers page.
What the posting requires
- Required
- TypeScript
- Conventions
- System honesty
- React
- Engineering
- Incentive design
- Node
- Workflow integrity
- Python
- Go
- Preferred
- Evaluations
- Graders
- Reinforcement learning
- Data quality systems
These tags are our reading of the posting. They can miss something; the original posting is the reference.
Do you qualify?
Each requirement checked against your resume, in about a minute. No account. Your resume is deleted when the verdict appears.