Full-Stack ML Research Tools Engineer

Cursor; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Cursor is hiring a Software Engineer on the RL Data team to design and build tools used by researchers and external contributors to create, review, submit, and monitor environments and tasks behind Cursor’s reinforcement-learning runs. This full-stack role sits within a research-focused team and drives end-to-end review and acceptance workflows.

You will own the transcript inspection, signals grading, and training submission workflows, and build authoring interfaces for researchers, vendors, and

Qualifications

• Shipped full-stack products and owned systems from UI through storage or services.
• Experience with TypeScript and React alongside Node, Python, or Go.
• Built or maintained a design system or component library and established durable conventions.
• Designed review, QA, moderation, fraud, or acceptance workflows to keep checks honest.
• Care about data quality and willingness to inspect raw data; experience with evaluations, graders, or RL data is helpful but not required.

Responsibilities

• Create fast, trustworthy workflows for vendors and research team to interact effectively with each other — vendor task creation and iteration, vendor submissions, and task acceptance into training.
• Build review tools for inspecting and comparing rollouts, transcripts, grader outputs, and other signals of task quality.
• Develop environment-health, failure-search, versioning, and catalog experiences that make training data easy to understand, manage, and extend.
• Establish a shared component kit, then use it to build self-serve interfaces for creating and improving tasks with quality checks inline.

Skills

TypeScript

React

Node

Python

Go

Job description

Cursor is hiring a Software Engineer on the RL Data team to design and build tools used by researchers and external contributors to create, review, submit, and monitor environments and tasks behind Cursor’s reinforcement-learning runs. This full-stack role sits within a research-focused team and drives end-to-end review and acceptance workflows.

You will own the transcript inspection, signals grading, and training submission workflows, and build authoring interfaces for researchers, vendors, and