Staff Software Engineer at 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). Demand is outpacing our capacity to deliver, so we're scaling the team fast. 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 Design and build scaleable systems that generate RL environments Create automated QA systems to validate environment quality and fairness 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 Work directly with AI researchers at leading labs to under