Machine Learning Engineer

Role Overview

Keystone Recruitment is seeking an experienced Machine Learning Engineer to join one of its clients, supporting the evaluation of advanced machine learning systems for a leading AI research initiative. This project-based, hourly contract role focuses on transforming real-world ML engineering workflows into structured evaluation benchmarks for frontier AI models. This fully remote position offers asynchronous work on your own schedule, with weekly payments.

About the Machine Learning Engineer Role

This position is ideal for experienced ML engineers or applied researchers who enjoy deep technical reasoning, experimentation, and system-level thinking. As a Machine Learning Engineer, you will contribute directly to how cutting-edge AI systems are evaluated on practical machine learning engineering tasks.

Key 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.

Ideal Qualifications

• 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.

Key skills/competency

• Machine Learning Engineering
• AI System Evaluation
• ML Benchmarking
• Model Development
• Experimentation
• ML Optimization
• System Design
• Technical Writing
• Applied ML Research
• Python