Keystone Recruitment$100–$120 per hour
RoleOne of our clients is hiring 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.
About the RoleThis position is ideal for experienced ML engineers or applied researchers who enjoy deep technical reasoning, experimentation, and system-level thinking.
You will contribute directly to how cutting-edge AI systems are evaluated on practical machine learning engineering tasks.
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
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 within an industry lab or academic setting (strongly preferred)
Strong understanding of ML system design and optimization tradeoffs
Excellent written communication skills and high attention to technical detail
Fully remote, asynchronous work completed on your own schedule
Project-based engagement with potential extensions based on performance and project needs
Weekly payments via Stripe or Wise
No access to confidential or proprietary employer or client data
¿Te interesa este puesto?