Remote ML Researcher (Python) - Flexible Part-Time

Remotebridge; United States; Remote; USD 83,000 - 165,000; Part time

Job summary

Remotebridge is seeking a Machine Learning Researcher (MSc or PhD) for a fully remote, contract role. You’ll contribute to an AI training project involving model development, training and inference systems, numerical computing, and performance optimization using Python. This is a coding-heavy role requiring deep ML expertise and the ability to design and validate models, build reproducible workflows, and optimize memory and throughput. Flexibility and ~15 hours per week; start ASAP if selected.

Qualifications

• 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.
• Proficiency with Python and coding agents.
• Equivalent tools may be considered with depth in relevant work.
• Experience at a tech company, AI lab, or research org preferred.

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 workflows using Python and command-line tools.

Skills

Python

Machine Learning

Numerical computing

Model development

Education

Master’s degree or PhD in Computer Science/ML/AI/Applied Math/Statistics

Tools

Command-line tools

Job description

Remotebridge is seeking a Machine Learning Researcher (MSc or PhD) for a fully remote, contract role. You’ll contribute to an AI training project involving model development, training and inference systems, numerical computing, and performance optimization using Python. This is a coding-heavy role requiring deep ML expertise and the ability to design and validate models, build reproducible workflows, and optimize memory and throughput. Flexibility and ~15 hours per week; start ASAP if selected.