Remote ML Engineer — Pipelines & Optimization (Contractor)

Synthires; United States; Remote; AUD 83,000 - 165,000; Part time

Job summary

Synthires is seeking an experienced ML Engineer for a remote, part-time contractor role. The assignment focuses on model development, training and inference systems, with emphasis on Python, reproducible workflows, and coding agents.

You will implement, validate and optimize ML pipelines, tackle performance and memory challenges, and deliver tasks on a flexible 15-hour weekly schedule, with immediate onboarding.

Qualifications

• Master's degree or PhD in Computer Science, Machine Learning, AI, Applied Mathematics, Statistics, Engineering, or related quantitative field.
• Strong professional or research experience in machine learning.
• Proficiency in Python and experience using coding agents.

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 ML engineering tasks.

Skills

Python

Machine Learning

Coding Agents

Pipelines

Education

Master's or PhD in CS/ML

Job description

Synthires is seeking an experienced ML Engineer for a remote, part-time contractor role. The assignment focuses on model development, training and inference systems, with emphasis on Python, reproducible workflows, and coding agents.

You will implement, validate and optimize ML pipelines, tackle performance and memory challenges, and deliver tasks on a flexible 15-hour weekly schedule, with immediate onboarding.