Remote ML Engineer | Research Pipelines (Part-Time)

Synthires; San Francisco (CA); 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. You will develop and validate ML models, training pipelines, and inference systems using Python, with a focus on reproducible workflows and coding agents.

The position requires approximately 15 hours per week with a flexible schedule. Immediate onboarding is preferred for first task delivery, and work will be conducted remotely from anywhere.

Qualifications

• Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics or related 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.

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.

Skills

Python

ML research

Coding agents

Workflow debugging

Education

Master's or PhD in CS/ML

Tools

Coding agents

Job description

Synthires is seeking an experienced ML Engineer (MSc or PhD) for a remote, part-time contractor role. You will develop and validate ML models, training pipelines, and inference systems using Python, with a focus on reproducible workflows and coding agents.

The position requires approximately 15 hours per week with a flexible schedule. Immediate onboarding is preferred for first task delivery, and work will be conducted remotely from anywhere.