ML Engineer - AI Coding Expert

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: [email protected] PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

The role involves using frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks. Responsibilities include reviewing model-generated implementations and identifying bugs, performance issues, and failure modes.

Candidates must have 2+ years of professional ML engineering experience and a track record of building production ML systems or LLM applications. Regular use of AI coding agents like Cursor, Claude Code, or Gemini CLI is required.

Identified from the job description. Confirm important requirements above.

• Machine Learning Engineering
• Model Deployment
• LLM Applications
• MLOps
• AI Coding Agents
• Model Training
• Inference Systems
• Technical Tradeoff Analysis

• Software
• Technology
• Engineering
• Data & Analytics
• Science & Research

Minimum experience

2+ years

Apply by

Sep 10, 2026

Posting language

English

Working hours

40 hours per week

Location requirements

Country, Toronto, Ontario, Canada

Seniority

Not Applicable