Role OverviewThe ML Engineer will use frontier AI coding agents to complete and evaluate complex machine learning and AI engineering tasks, reviewing model-generated implementations and identifying bugs and performance issues.
What You Will Do
The role involves using AI coding agents to complete tasks, reviewing model-generated implementations, and applying professional engineering judgment to realistic ML engineering scenarios.
Why It Might Be a Fit
The ideal candidate has 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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