🌎 ML Engineer (MSc. or PhD), Remote- Contract

Xperteez Technology • ,

8h • $60 - $120 • Remote

About The Position

This is a coding-heavy contract role contributing to an AI training project. The work includes model development, training and inference systems, numerical computing, performance optimization, and Python. The engineer will create, solve, review, and validate challenging machine-learning engineering tasks. Tasks may involve implementing or modifying models, building reproducible training or inference workflows, optimizing memory or throughput, debugging numerical or system-level failures, and verifying correctness and performance requirements. Compensation is output-based, with experts paid per task that meets project specifications; time required per task can vary, and minimum submission requirements apply. The role is fully remote and approximately 15 hours per week, with flexible hours and days. Selected candidates are expected to start their first task within 24–48 hours after onboarding.

Requirements

• Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline.
• Strong professional or research experience in machine learning.
• Practical proficiency with Python and coding agents.
• Experience using coding agents with Python in the workflow.

Nice To Haves

• Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment.
• Exceptional open-source or academic experience may qualify.

Responsibilities

• Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible programmatic workflows using Python and command-line tools.
• Create, solve, review, and validate machine-learning engineering tasks.
• Optimize memory or throughput, debug numerical or system-level failures, and verify implementation correctness and performance.

What This Job Offers

• Job Type: Part-time
• Career Level: Senior