Machine Learning Engineer - Remote

YO AI Labs; New York (NY); Remote; USD 83,000 - 165,000; Part time

Job summary

YO AI Labs is seeking an experienced Machine Learning Expert to support AI training projects involving model development, training pipelines, inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring strong Python skills and experience using coding agents.

The position is fully remote and globally available as a contractor (~15 hours per week) with flexible scheduling.

Qualifications

• Master's degree or PhD in a quantitative field as listed.
• Strong professional or research experience in machine learning.
• Proficiency in Python and coding agents.
• Experience with model development, training, inference, or optimization.

Responsibilities

• Develop and validate machine learning models and training pipelines.
• Build inference systems, data pipelines, and evaluation frameworks.
• Implement model components and numerical methods.
• Optimize memory usage, computational efficiency, and system performance.
• Debug technical issues and validate correctness through reproducible workflows.
• Use Python, command-line tools, and coding agents to complete engineering tasks.

Skills

Python

Machine Learning

Coding agents

Numerical computing

Education

Master's degree or PhD in CS/ML/Math/Engineering

Job description

Machine Learning Expert

Location: Global, Fully Remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible

Job Summary

We are seeking experienced Machine Learning Experts to support AI training projects involving model development, training pipelines, inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring strong Python skills and experience using coding agents.

Key Responsibilities

• Develop and validate machine learning models and training pipelines.
• Build inference systems, data pipelines, and evaluation frameworks.
• Implement model components and numerical methods.
• Optimize memory usage, computational efficiency, and system performance.
• Debug technical issues and validate correctness through reproducible workflows.
• Use Python, command-line tools, and coding agents to complete engineering tasks.

Required Qualifications

• Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or a related quantitative field.
• Strong professional or research experience in machine learning.
• Practical proficiency in Python and coding agents.
• Experience with model development, training, inference, or performance optimization.

Preferred Qualifications

• Experience at a technology company, AI laboratory, research organization, or established engineering team.
• Strong academic research or open-source contributions.

Availability

Candidates should be ready to begin promptly, with the first task expected within 24–48 hours after onboarding.