Machine Learning Engineer

About the Role: Machine Learning Engineer at Taskify AI

Taskify AI is seeking an experienced Machine Learning Engineer to support the evaluation of advanced machine learning systems for a leading AI research initiative. This project-based, fully remote role is ideal for professionals who thrive on deep technical reasoning, experimentation, and system-level thinking, offering a unique opportunity to contribute directly to how cutting-edge AI systems are evaluated on practical ML 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.

Opportunity Highlights

This is a fully remote, asynchronous contract role, allowing you to work on your own schedule. It's a project-based engagement with potential for extensions. Compensation is competitive at $100–$120 per hour, with weekly payments. As an independent contractor, you will operate without access to confidential or proprietary employer or client data.

Key skills/competency

• Machine Learning Engineering
• ML System Design
• AI Evaluation Benchmarking
• Model Training
• Debugging
• Optimization
• Experimentation
• Applied ML Research
• Technical Writing
• AI Models