ML Engineer

ML Engineer (Coding Agent Experience) [$85/hr]About The RoleContributors help evaluate and improve frontier AI coding models through structured technical assessmentsThe work focuses on realistic machine learning engineering workflows and model evaluationSpots are limited and filling quickly on a first come, first serve basisRole ResponsibilitiesUse frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasksReview model-generated implementations involving model training, inference systems, MLOps, and LLM applicationsIdentify bugs, edge cases, performance issues, and failure modesCompare outputs from multiple frontier models and assess their strengths and weaknessesApply professional engineering judgment to realistic ML engineering scenariosTime CommitmentSprint based project that runs in 12-24 hour stretches based on client requirementGood Candidature2+ years of professional machine learning engineering experienceExperience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered productsRegular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar toolsAbility to evaluate model-generated machine learning implementations and technical tradeoffsExperience deploying ML systems to production is preferredWe consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon requestCompensation$400 per accepted taskTypical tasks take approximately 2-3 hours after ramp-upCompensation is tied to accepted work