Software Engineer, RL Data

Highlights

• Turn capability gaps into thousands of verifiable agent training tasks.
• Build production-like environments with real codebases and app simulations.
• Design graders that reward real solutions while blocking shortcuts.

Ideal candidate

Truth-seeking, systematic builder who loves turning messy open-ended problems into trustworthy systems and digging into rollouts to make agents measurably better.

Requirements

• Strong software engineering fundamentals with non-trivial systems built in Python
• Experience with data pipelines, test or eval infrastructure, sandboxes, or backend services
• Taste for trustworthy environments where skills transfer, shortcuts fail, and results are debuggable
• Careful and systematic, combining aggregate metrics with close reading of raw outputs
• Enjoys turning messy, open-ended problems into repeatable, high-quality data production systems