Machine Learning Engineer - Fully Remote
$85 per hourFull-time
Mercor
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:
- For any help or support, reach out to: View email address on jobs.jobcopilot.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Vacancy posted a month ago
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