Machine Learning Researcher (MSc. or PhD)

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

Job summary

SaidGig is seeking a technically skilled contractor to contribute to challenging AI training work, focusing on model development, training and inference systems, numerical computing, and Python-based workflows.

Responsibilities include developing and validating ML models and pipelines, implementing data components, and building reproducible training/inference workflows. The role offers flexible hours, remote work, and task-based compensation, with immediate start options.

Qualifications

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

Responsibilities

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

Skills

Machine Learning

Python

Numerical Computing

Performance Optimization

Education

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

Tools

Python tooling

Job description

Role Overview

Contribute to challenging AI training work by building, solving, reviewing, and validating machine learning engineering tasks. This coding intensive role focuses on model development, training and inference systems, numerical computing, performance optimization, and Python based workflows.

Key Responsibilities

• Develop and validate machine learning models, training pipelines, inference systems, and supporting infrastructure.
• Create, solve, review, and validate complex machine learning engineering tasks.
• Implement or modify models, data pipelines, evaluation systems, model components, and numerical methods.
• Build reproducible training and inference workflows using Python and command line tools.
• Optimize memory use and throughput, debug numerical and system level failures, and verify objective 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 field.
• Strong professional or research experience in machine learning.
• Practical proficiency in Python and experience using coding agents in a Python workflow. Equivalent tools may be considered when supported by directly relevant depth of experience.
• Experience with an established technology company, AI laboratory, research organization, or recognized engineering environment is strongly preferred. Exceptional open source or academic experience may also qualify.

Work Terms

• Global, fully remote independent contractor engagement.
• Approximately 15 hours per week.
• Flexible schedule, with freedom to choose working hours and days, including weekends.
• Compensation is based on completed tasks that meet project specifications. Time per task varies by experience and workflow, and minimum submission requirements apply.
• Selected candidates should be ready to begin immediately and complete their first task within 24 to 48 hours after onboarding.

Compensation

$60 to $120 per hour.