[Hiring] Machine Learning Engineer @YO AI Labs

Role Description

We are seeking highly skilled Machine Learning Engineers with a Master's degree or PhD to contribute to an AI training and evaluation project focused on machine learning model development, training and inference systems, numerical computing, performance optimization, and Python programming. This is a highly technical, coding-intensive role involving the creation, implementation, review, and validation of challenging machine learning engineering tasks.

• Develop and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.
• Implement model components, data pipelines, evaluation systems, and numerical computing methods.
• Build reproducible programmatic workflows using Python and command-line tools.
• Modify and optimize machine learning models for improved performance, memory efficiency, and throughput.
• Debug numerical, programming, and system-level issues.
• Create, solve, review, and validate complex machine learning engineering tasks.
• Verify implementations against defined correctness and performance requirements.

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.
• Advanced practical proficiency in Python programming.
• Hands-on experience using coding agents in Python-based development workflows.
• Ability to develop, debug, optimize, and validate complex machine learning systems.

Preferred Qualifications

• Experience working at established technology companies, AI laboratories, research organizations, or recognized engineering environments.
• Strong academic or open-source contributions in machine learning or related fields.
• Experience with model development, numerical computing, training and inference optimization, and performance engineering.
• Demonstrated ability to work on challenging, code-heavy technical projects.

Work Structure

• Flexible working schedule, with the freedom to choose working days and hours.
• Approximately 15 hours per week.
• Contractor engagement.
• Global, fully remote opportunity.