Joy Network is focused on translating practical ML research and engineering workflows into structured benchmarks for frontier models. They are seeking a Machine Learning Engineer to design and write detailed evaluation suites for machine learning engineering tasks and assess AI-generated solutions across various areas.
Responsibilities:
- Design and write detailed evaluation suites for machine learning engineering tasks
- Assess AI-generated solutions across areas such as model training, debugging, optimization, and experimentation
Requirements:
- 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 strongly preferred)
- Strong ability to reason about ML system design choices and tradeoffs
- Clear written communication and high attention to technical detail