Evaluate advanced ML systems, design evaluation suites, and translate real-world ML workflows into structured benchmarks. 3+ years of experience in machine learning engineering or applied ML research required. Strong ability to reason about ML system design choices and trade-offs.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
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
- 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
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Ideal Profile
- 3+ years of experience in machine learning engineering or applied ML research
- 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
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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.
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