Machine Learning Researcher (Remote | $60–$120/hr)

Synthires; California; Remote; USD 83,000 - 165,000; Part time

Job summary

Synthires is seeking an experienced ML Engineer (MSc. or PhD) for a remote, part-time contractor role. The position focuses on developing models, training pipelines, and inference systems using Python, with emphasis on reproducible workflows and performance optimization.

Approx. 15 hours per week, flexible schedule, immediate availability preferred; first task within 24-48 hours after onboarding. Compensation is $60-$120 per hour, with output-based payment for tasks meeting project specs.

Qualifications

• Master's or PhD in a quantitative field and strong ML background.
• Proficient in Python and ML model development.
• Experience building reproducible workflows and deployment pipelines.

Responsibilities

• Develop and validate ML models, training pipelines, and inference systems.
• Implement data pipelines, evaluation methods, and numerical techniques.
• Build reproducible workflows using Python and command-line tools.
• Debug numerical and system-level issues and optimize performance.
• Collaborate across teams to solve challenging ML engineering tasks.

Skills

Machine Learning

Python

Experimentation

Debugging

Education

Master's degree in CS/ML/AI or related field

PhD in CS/ML/AI or related field

Tools

Coding agents

Git

Python tooling

Job description

ML Engineer (MSc. or PhD) (Remote | $60-$120/hr)

Position: ML Engineer (MSc. or PhD)

Type: Contractor (Part-Time, approximately 15 hours/week)

Compensation: $60-$120/hour

Location: Remote (Worldwide)

About the Opportunity

This opportunity is for experienced Machine Learning Engineers to contribute to AI training projects involving model development, training and inference systems, and performance optimization. The role is highly coding-intensive, with a focus on Python, reproducible workflows, and coding agents.

Key Responsibilities

• Develop and validate machine learning models, training pipelines, and inference systems.
• Implement model components, data pipelines, evaluation systems, and numerical methods.
• Build reproducible workflows using Python and command-line tools.
• Debug numerical and system-level issues and optimize memory usage and performance.
• Create, solve, review, and validate challenging machine learning 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 experience using coding agents.
• Ability to implement, debug, and validate complex machine learning workflows.

Preferred Qualifications

• Experience at an established technology company, AI laboratory, or research organization.
• Exceptional academic or open-source engineering experience demonstrating relevant expertise.

Compensation

• $60-$120/hour, with output-based payment for tasks meeting project specifications.
• Approximately 15 hours per week with a flexible schedule.
• Immediate availability preferred; first task expected within 24-48 hours after onboarding.