Idler
Idler builds evaluation suites and on-demand, scalable reinforcement-learning environments used to measure and train AI models. Its platform helps AI labs and intelligent-systems teams generate custom tasks, automate environment infrastructure, and run reproducible evals. Privately held and founded in 2025 in San Francisco, it sells access to its SaaS platform and environments to research groups and companies building frontier models.
Open Positions at Idler
3 open positions
Design Engineer responsible for shaping and building polished, performant interfaces for idler’s complex reinforcement-learning environments. This hybrid role combines product design, frontend engineering, and full-stack execution for frontier AI research customers and internal teams.
Forward Deployed Engineers partner directly with leading AI labs and organizations to turn real-world workflows into rigorous evaluation datasets and reinforcement learning environments. This is a hands-on, customer-facing role combining production engineering, relationship management, and end-to-end ownership.
Build full-stack features and QA tooling for agentic systems that create coding environments used to train frontier AI models. Join Idler’s small founding team in San Francisco and work directly with engineers and AI researchers.