Machine Learning Engineer - Fully Remote

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: ML Engineer (Coding Agent Experience) Type: Contract Compensation: $85/hour Location: Remote 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. Qualifications Must-Have - 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. Preferred - Experience deploying ML systems to production. Compensation & Legal - $400 per accepted task - Compensation is tied to accepted work. Application Process (Takes 20–30 mins to complete) - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome - For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.