Senior Machine Learning Engineer - AI Coding Agents

Mercor • United State
Remote
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AI Summary

Evaluate and improve complex ML/AI tasks using frontier AI coding agents. Review model-generated implementations and apply professional engineering judgment. 2+ years of ML engineering experience required.

Key Highlights
Use AI coding agents for ML tasks
Evaluate and improve model-generated implementations
Apply professional engineering judgment
Key Responsibilities
Use frontier AI coding agents for complex ML/AI tasks
Review and evaluate model-generated implementations
Identify bugs, edge cases, performance issues, and failure modes
Compare outputs from multiple frontier models
Technical Skills Required
Machine Learning Engineering AI Coding Agents (Cursor, Claude Code, Codex, etc.) Model Training Inference Systems MLOps LLM Applications
Benefits & Perks
$85/hour
Remote work
Nice to Have
Experience deploying ML systems to production

Job Description


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 in AI models.
  • 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.

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