Role OverviewMercor connects elite creative and technical talent with leading AI research labs. As a Machine Learning Engineer, you will use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks.
What You Will Do
Your responsibilities will include reviewing model-generated implementations, identifying bugs, comparing outputs from multiple frontier models, and applying professional engineering judgment to realistic ML engineering scenarios.
Why It Might Be a Fit
You will be a good fit for this role if you have 2+ years of professional machine learning engineering experience, experience building production ML systems, and regular use of AI coding agents.
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
Benefits
- $400 per accepted task
- Compensation is tied to accepted work
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