Full Stack Engineer, ML Research Tools
Cursor · San Francisco
CHECKED 7H AGO
Applied AIonsite
At a glance
Highlights
- Build tools researchers use to create, review and submit RL training tasks.
- Own review experience from rollout inspection to training acceptance.
- Shorten the loop from task idea to trusted training data.
Ideal candidate
Truth-seeking, creative product engineer who loves dense data tools and moves fast in ambiguity. Cares deeply about data quality and enjoys collaborating with researchers to ship reliable workflows.
Requirements
- Shipped full-stack products owning UI through storage/services with TypeScript, React, Node, Python or Go
- Built dense data-facing tools like transcript viewers, diffing systems or review queues
- Built or maintained a design system or component library
- Designed review, QA, moderation or acceptance workflows that stay honest
- Care about data quality and willing to inspect raw data
- Move quickly under ambiguity and collaborate closely with researchers
- hiring process
- Two or three short technical interviews focused on frontend craft for dense data and system design for a review-and-acceptance workflow, then onsite to work on a small project using real rollouts and meet the team.
Lab profile
About Cursor
Automates coding with AI-powered editor for professional programmers.
What they build
- Cursor AI code editor
- Cursor for Enterprise
Known for
- AI-assisted coding
- Applied ML research
- Developer tools
Key facts
- Founded in 2022
- Headquartered in San Francisco
- Backed by Thrive Capital and Andreessen Horowitz