ML Engineer

ML Engineer (Coding Agent Experience) [$85/hr] About The Role * Contributors help evaluate and improve frontier AI coding models through structured technical assessments * The work focuses on realistic machine learning engineering workflows and model evaluation * Spots are limited and filling quickly on a first come, first serve basis Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks * Review model-generated implementations involving model training, inference systems, MLOps, and LLM applications * Identify bugs, edge cases, performance issues, and failure modes * Compare outputs from multiple frontier models and assess their strengths and weaknesses * Apply professional engineering judgment to realistic ML engineering scenarios Time Commitment * Sprint based project that runs in 12-24 hour stretches based on client requirement Good Candidature * 2+ years of professional machine learning engineering experience * Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products * Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools * Ability to evaluate model-generated machine learning implementations and technical tradeoffs * Experience deploying ML systems to production is preferred * We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request Compensation * $400 per accepted task * Typical tasks take approximately 2-3 hours after ramp-up * Compensation is tied to accepted work