San Francisco
11 months ago

Job Overview

Job Type
FullTime
Pay
$100K – $150K • 0.1% – 0.25%

Job description

Salary:
USD 100,000 - 150,000 per year
Location:
San Francisco, United States
Work arrangement:
On-site

Role Summary

What we do

Idler builds reinforcement learning environments that teach AI models to code like 0.01% engineers. Our training environments are based on real-world coding scenarios that frontier models will actually encounter.

Responsibilities

Build features and tooling for our agentic systems that create and QA coding environments. You'll work alongside senior engineers and the founding team, learning how to design systems that are both technically sound and philosophically robust. A big part of our work is thinking critically about what makes a coding environment "good" and "fair".

Concretely, you'll

  • Build UI components and backend services for environment generation and validation
  • Implement automated testing and QA workflows
  • Work with real codebases to understand what makes effective training data
  • Ship features quickly and iterate based on feedback from AI researchers at leading labs

You'll work with

The founding team, a founding engineer, and a small group of engineers (we're hiring quickly). You'll learn directly from people building at the cutting edge of AI training.

Requirements

Tech stack

Typescript, React, NodeJS, Postgres, Redis, Vercel, Cursor

Benefits

  • Healthcare coverage, 401(k), and 15 days PTO
  • Meals, coffee, and snacks (that you will actually enjoy) covered during working days
  • Latest MacBook Pro and equipment
  • Relocation assistance available
  • Team offsites and events (we love hanging out)

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.

Role:
Software Engineer
Job Type:
FullTime

Company profile

idler is a frontier data research lab that builds reinforcement learning environments and evaluations from real production work, which frontier AI labs use to measure and train their models. It models the real workflows of serious professionals, starting with frontier coding and expanding into RSI and auto-research, law, enterprise business and cybersecurity. idler raised a $9m seed round led by Paradigm and holds a multimillion-dollar contract with a foundation lab.

Funding Stage
Seed
Key Investors
Paradigm

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