AI Engineer, RL & Evals

• Research different grading methods and rubrics
• Design unique tasks that can capture elements of "taste" and design capabilities
• Build agent harnesses and context layers
• Work on scalable RL infra
• Work with internal research teams on our training pipelines
• Work with the top frontier labs on how to craft environments to improve frontier models

What matters to us

• Experience in building evals, RL environments, ML or post-training. Strong backend experience as well.
• You like ambiguous, hard, creative problems, and want to make subjective domains verifiable
• You're a team player and have startup DNA: you move fast, adapt, no such thing is 'not in scope', you like to take ownership of things. You'll be given a lot of room to run.

Bonus points

• Open source contributions or personal projects that show you build things because you're curious
• Background at creative companies (Figma, Notion, Canva, Adobe, Runway, etc.) or companies with strong index building/crawling (e.g. Firecrawl, Brave, Luma, Pika) or data (Mercor, Surge, etc.)