Remote ML Engineer: Frontier AI Coding & MLOps

United States Digital Space LLC; United States; Remote; USD 110,000 - 131,000; Full time

Job summary

Mercor is seeking an ML Engineer specializing in coding agent experiences to join our remote, contract-based team. You will use frontier AI coding agents to complete and evaluate ML tasks and review model-generated implementations.

Applicants should have 2+ years of ML engineering experience, production ML systems exposure, and familiarity with AI coding agents like Cursor, Claude Code, Codex, Windsurf, or Gemini CLI. Compensation is task-based.

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

AI coding agents

Model evaluation

Tools

Cursor

Claude Code

Codex

Windsurf

Gemini CLI

Job description

Mercor is seeking an ML Engineer specializing in coding agent experiences to join our remote, contract-based team. You will use frontier AI coding agents to complete and evaluate ML tasks and review model-generated implementations.

Applicants should have 2+ years of ML engineering experience, production ML systems exposure, and familiarity with AI coding agents like Cursor, Claude Code, Codex, Windsurf, or Gemini CLI. Compensation is task-based.