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ML Engineer - AI Coding Expert

mercor · Remote — Germany

Remote
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Job overview

Location
Remote — Germany
Workplace
Remote
Employment type
Contract / freelance
Experience level
Mid level
Date posted
Oct 11, 2026
Last checked at the source
Oct 11, 2026
Job source
via Himalayas

Requirements

• 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.

Skills

Visa and relocation

The posting doesn't mention visa sponsorship. Check the original posting or ask the company.

The posting doesn't mention relocation.

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. • 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: PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity. Originally posted on Himalayas Machine-Learning-Engineer, AI-Engineering, Machine-Learning-Engineering, AI-Coding-Agent, LLM-Applications, AI-ML-Engineer, AI-ML-Software-Engineer, ML-Software-Engineer, AI-Machine-Learning-Programmer, AI-ML-Software-Developer, AI-ML-Developer
Apply on the original site ↗Job source: via Himalayas

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