Description
The Software Engineer will build full-stack tools for researchers, vendors, and domain experts to create, review, submit, and monitor reinforcement-learning environments and tasks. Responsibilities include end-to-end review and acceptance workflows, rollout and transcript inspection, task-quality grading, reward-hacking analysis, environment-health and versioning systems, and self-serve authoring interfaces. The role requires experience shipping full-stack products with technologies such as TypeScript, React, Node, Python, or Go, along with strong data-facing tooling, design-system, and review-workflow experience.
