Software Engineer, Research Tools
Core
Design and build full-stack tools for researchers and external contributors to create, review, submit, and monitor environments and tasks for reinforcement-learning runs.
Role type
Senior full-stack product engineer (RL data infrastructure)
Builds
Review tools, authoring interfaces, and workflow systems for task creation, quality inspection, and training data management.
Domain
Artificial Intelligence / Reinforcement Learning / Data Engineering
Deliverable
production ML models | product features
Required skills
TypeScript, React, Node, Python, Go, full-stack product ownership, data-facing tooling, design system creation, review/QA workflow design
Preferred skills
reinforcement learning, data quality systems, evaluations, graders
Technologies
TypeScript, React, Node, Python, Go
Responsibilities
Build review tools for inspecting rollouts, transcripts, and grader outputs; Develop environment-health, failure-search, and versioning experiences; Create self-serve interfaces for creating and improving tasks with inline quality checks; Own end-to-end workflows from submission to training.
Seniority
Senior, hands-on IC