Remote ML Engineer - Training Pipelines (Part-Time)

Synthires; United States; Remote; AUD 118,000 - 235,000; Part time

Job summary

Synthires is seeking an experienced ML Engineer (MSc or PhD) for a remote, worldwide contractor role. You will develop and optimize machine learning models, training pipelines, and inference systems with a strong focus on Python and reproducible workflows.

The role is coding-intensive, involving building and validating ML workflows and tooling. The position requires about 15 hours per week with flexible scheduling and immediate availability preferred; first task expected within 24–48 hours after

Qualifications

• Master's degree or PhD in Computer Science or related quantitative field.
• Strong professional or research experience in machine learning.
• Proficiency in Python and experience with coding agents.

Responsibilities

• Develop and validate ML models, training pipelines, and inference systems.
• Implement 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 ML engineering tasks.

Skills

Python

Machine Learning

Numerical methods

Data pipelines

Reproducible workflows

Education

Master's degree or PhD in Computer Science/ML or related

Tools

Command-line tools

Job description

Synthires is seeking an experienced ML Engineer (MSc or PhD) for a remote, worldwide contractor role. You will develop and optimize machine learning models, training pipelines, and inference systems with a strong focus on Python and reproducible workflows.

The role is coding-intensive, involving building and validating ML workflows and tooling. The position requires about 15 hours per week with flexible scheduling and immediate availability preferred; first task expected within 24–48 hours after