Senior Software Engineer

27 Minutes ago • 3 Years + • $180,000 PA - $220,000 PA
Software Development & Engineering

Job Description

Idler builds reinforcement learning environments to train AI models to code like top engineers, based on real-world scenarios. They have secured a multimillion-dollar contract and are rapidly expanding to meet demand, aiming to become the training data layer for frontier AI. The team is tight-knit, fast-moving, and focused on creating effective training data.
Must Have:
  • Design and build scalable systems that generate RL environments
  • Create automated QA systems to validate environment quality and fairness
  • Work directly with AI researchers at leading labs to understand what makes training data effective
  • Support new product lines as we expand beyond coding environments
Perks:
  • Healthcare coverage
  • 401(k)
  • 15 days PTO
  • Meals, coffee, and snacks covered during working days
  • Latest MacBook Pro and equipment
  • Relocation assistance available
  • Team offsites and events

Add these skills to join the top 1% applicants for this job

game-texts
quality-control
react
reinforcement-learning
redis
typescript

About Idler

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.

We've closed a multimillion-dollar contract with a leading foundation lab (the largest they've issued to date), and demand is outpacing our capacity to deliver. We're scaling fast to build the training data layer for frontier AI. Every breakthrough model will need environments like ours to learn real-world skills at scale.

We're a tight-knit founding team in San Francisco. We move quickly, think deeply about what makes good training data, and play to win. Join us if you want to win too.

About the role

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.

We've closed a multimillion-dollar contract with a leading foundation lab (the largest they've issued to date). Demand is outpacing our capacity to deliver, so we're scaling the team fast.

What you'll do

Build agentic systems that create and QA coding environments at scale. Most of your day will be spent designing these systems to be extremely sound. A big part of our work is thinking critically about what makes a coding environment and task "good" and "fair". This requires high agency and philosophical thinking alongside technical execution.

Concretely, you'll:

  • Design and build scaleable systems that generate RL environments
  • Create automated QA systems to validate environment quality and fairness
  • Work directly with AI researchers at leading labs to understand what makes training data effective
  • Support new product lines as we expand beyond coding environments

You'll work with

The founding team, a founding engineer, and a small group of engineers (we're hiring quickly). You'll have direct access to AI researchers at frontier labs.

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.

Technology

TypeScript, React, NextJS, Postgres, NodeJS, various AI completions

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