Remote ML Engineer: Frontier AI Coding & MLOps

Mercor; Germany (OH); On-site; USD 96,432 - 137,760; Full time

Job summary

Mercor is seeking an ML Engineer for the Coding Agent Experience to work remotely on advanced ML tasks using frontier coding agents. You will review model-generated components, assess training and inference systems, and contribute to MLOps and LLM applications.

The role emphasizes evaluating model outputs, identifying corner cases and performance issues, and applying professional judgment to ML engineering challenges. This is a contract, remote position with task-based compensation.

Qualifications

• 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.

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.

Skills

ML engineering

Production ML systems

AI tooling

Model evaluation

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

Mercor is seeking an ML Engineer for the Coding Agent Experience to work remotely on advanced ML tasks using frontier coding agents. You will review model-generated components, assess training and inference systems, and contribute to MLOps and LLM applications.

The role emphasizes evaluating model outputs, identifying corner cases and performance issues, and applying professional judgment to ML engineering challenges. This is a contract, remote position with task-based compensation.