Founding Member of Technical Staff — RL

Socket.dev; Mountain View (CA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity

Job summary

Naive is building autonomous companies: agent systems capable of operating real businesses end to end. We release autonomous templates and benchmarks, backed by 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 and are growing fast. As a founding MTS member in Mountain View, you will shape real-world agent environments, evaluate benchmarks and publish results, with substantial

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

Research engineering

Agent environments

LLM failure modes

Experiment design

Tools

Benchmarks

RL environments

Job description

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