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Build scalable systems that generate RL environments and agentic QA systems that validate environment quality and fairness, plus petabyte-scale ETL and orchestration of millions of concurrent jobs. Stack: TypeScript, React, NodeJS, Postgres, Redis, Vercel, AWS, Modal, Daytona, GRPO. The team is small and in-person in San Francisco.
About idler
idler is a frontier data research lab. We build the evals and environments that the world's leading frontier labs use to measure and train their models.
After raising a $9m seed round led by Paradigm, we spent the last year developing coding evals for top coding models you know and love. At the same time, we've expanded into other domains besides coding: RSI & Auto-Research, Law, Enterprise Business, Cybersecurity, and others. Now, we are facing more lab demand for our data than we can serve, and are rapidly scaling the team to grow the business.
Our approach to creating training data scales using technology, and all of our data products are built on a unified self-reinforcing platform that learns through experience.
You would be joining a close-knit team that has reached product market fit, and your work would directly help to multiply our revenue.
You can see some of our work here: https://idler.ai/collections
About the role
As a Research Engineer at idler, you’ll build the systems and infrastructure that our entire company relies on. You will solve open-ended, technical challenges with focus on performance, scale, and simplicity. In the era of AI-coding, systems-level thinking and attention to detail is more important than experience with a particular framework or language.
Examples of what you'll do
What we’re looking for
Tech stack
Typescript, React, NodeJS, Postgres, Redis, Vercel, Cursor/Claude Code/Codex, Tinker, Modal, AWS, Daytona, GRPO
Details
This is an in-person role in San Francisco. We're a tight-knit founding team and we play to win. Join us if you like to win too.
Compensation: $125K - $400K
