Taskify AI is seeking a Machine Learning Engineer to support the evaluation of advanced machine learning systems for a leading AI research initiative. This project-based role focuses on transforming real-world ML engineering workflows into structured evaluation benchmarks for frontier AI models.
Responsibilities:
- Design and write detailed evaluation suites for real-world machine learning engineering tasks
- Translate applied ML research and engineering workflows into structured benchmarks
- Evaluate AI-generated solutions related to model training, debugging, optimization, and experimentation
- Reason about ML system design choices, tradeoffs, and performance implications
- Produce clear, technically precise written assessments
Requirements:
- 3+ years of experience in machine learning engineering or applied ML research
- Hands-on experience with model development, experimentation, and evaluation
- Strong understanding of ML system design and optimization tradeoffs
- Excellent written communication skills and high attention to technical detail
- Background in ML research within an industry lab or academic setting (strongly preferred)