ML Engineer (Remote)

About the role

We are hiring for one of our clients to support a frontier code agents project through structured technical assessments. The work focuses on realistic machine learning engineering workflows and model evaluation.

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-generated code.
• Compare outputs from multiple frontier models and assess their strengths and weaknesses.
• Apply professional engineering judgment to realistic ML engineering scenarios.

Requirements

• 2+ years of professional machine learning engineering experience is required.
• Experience building production ML systems, model deployment infrastructure, LLM applications, or AI-powered products is required.
• Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools is required.
• Ability to evaluate model-generated machine learning implementations and technical tradeoffs is required.
• Experience deploying ML systems to production is preferred.

Pay

$400 per accepted task

More about the opportunity

This role offers a unique opportunity to contribute to the evaluation and improvement of frontier AI coding models. Spots are limited and filling quickly on a first-come, first-serve basis.