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Member of Technical Staff at Series B backed frontier AI lab

You'll work with a world-class team from Meta and Google to build the simulation infrastructure and RL environments needed to stress-test human-aligned AGI. If you're a senior engineer with a passion for agentic tools and complex systems, this is a unique opportunity to own architecture and drive high-impact research engineering.

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Location

San Francisco, United States

Compensation

$150k-$300k + Equity

Company

Confidential company

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Role overview

Join a high-velocity team of researchers and engineers building critical infrastructure for the next generation of human-aligned AI. You will develop complex RL environments, robust backend services, and sophisticated tooling to stress-test frontier models. This role offers the chance to define architecture and drive execution at the cutting edge of AI safety.

About the company

Series B backed frontier AI lab

What you will do

  • Build end-to-end RL environments for training and evaluating AI agents using React, TypeScript, Python, and FastAPI.
  • Develop shared tooling and infrastructure for trajectory review, reward hacking checks, and environment QA across multiple platforms.
  • Partner with Applied Researchers to translate complex environment designs into robust, production-grade software and evaluation systems.

Who this is a fit for

  • Has 4+ years of experience building production software with a full-stack background in React/TypeScript and Python or Go.
  • Demonstrated experience working with LLM APIs, tool calling, and agentic loops to build custom integrations or developer tools.
  • Proven track record of owning complex systems end-to-end within a high-velocity startup or small, high-impact engineering team.

Why this role is remarkable

  • Work alongside a world-class engineering team with experience from top-tier research labs like Meta AI, Amazon AGI, and Google.
  • Direct impact on the safety and alignment of future AGI systems through foundational simulation research and evaluation infrastructure.
  • High-autonomy environment at a well-funded, Series B startup during a period of rapid team expansion and technical growth.

How Jack & Jill work together

Jack
I get to know what you’re great at, then find roles you’d never find yourself.
Jill
I recruit from Jack’s network and make the intro when I spot a great match.
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Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.

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What happens next?

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Jill is the AI recruiter working for the company. She recruits from Jack’s network.

If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.

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