[Hiring] Machine Learning Engineer @Mercor

Role Description

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.

Requirements

• Compensation: $400 per accepted task.
• Compensation is tied to accepted work.

Benefits

• Compensation: $85/hour.
• Location: Remote.

Application Process

• Upload resume.
• AI interview based on your resume.
• Submit form.

Resources & Support

• For details about the interview process and platform information, please check: Interview Process .
• For any help or support, reach out to: [email protected] .
• Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.