Machine Learning Engineer for AI System Evaluation

About the Role

This project partners experienced machine learning engineers with a leading AI research lab to evaluate advanced ML systems. The work focuses on designing high-quality evaluation suites that measure AI performance on real-world machine learning engineering tasks, translating practical ML workflows into structured benchmarks for frontier models.

Position: Machine Learning Engineer

Compensation: $100–$120 per hour

Work Type: Remote | Hourly | Project-based

Key Responsibilities

• Design and write detailed evaluation suites for machine learning engineering tasks

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• Assess AI-generated solutions across model training, debugging, optimization, and experimentation
• Translate real-world ML research and engineering workflows into structured benchmarks
• Review and validate technical outputs for correctness, robustness, and clarity

Ideal Profile

• 3+ years of experience in machine learning engineering or applied ML research

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• Hands-on experience with model development, experimentation, and evaluation
• Background in ML research (industry lab or academic setting preferred)
• Strong ability to reason about ML system design choices and trade-offs
• Clear written communication and high attention to technical detail

Why This Role

A focused opportunity to apply deep ML expertise to the evaluation of next-generation AI systems, with fully remote work and flexible engagement.