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.
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
Role overview
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.
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