Founding Member of Technical Staff — RL

About Naive Naive is building autonomous companies: agent systems capable of operating real businesses end to end. We release autonomous company templates and benchmarks, alongside a studio—where users can deploy and operate these systems. Our infrastructure platform, Vetta, powers long-running, high-volume agent workloads.

We’ve raised $28.5M from Nexus Venture Partners, Y Combinator, Zetta Venture Partners, Liquid 2 and leading operators.

The Role

Build real-world agent environments, benchmarks and autonomous company blueprints—and make Vetta the best-performing agent within them. Accordingly, as a founding MTS member, you have the chance to earn significant equity in a fast growing Series A company.

What You’ll Do

• Turn complex business workflows into reproducible agent environments Design tasks, rewards, evals and benchmarks that measure real outcomes Build production-ready autonomous company blueprints Run experiments, analyze failures and improve agent performance Develop training data and optimization loops from agent trajectories Publish credible benchmarks, technical reports and demos Must-Haves Strong Python and research-engineering ability Experience building agents, evals or RL environments Deep understanding of tool use, long-horizon tasks and LLM failure modes Ability to design rigorous experiments and ship production systems High agency and comfort working on ambiguous 0→1 problems Nice-to-Haves RL or post-training experience Browser, coding or computer-use agent experience Experience publishing benchmarks or technical research Familiarity with distributed agent infrastructure P.S.
• If you’ve made it to the bottom of this listing and are serious about every point on this role, send Sean a LinkedIn connect with a note.