Remote ML Engineer: AI Research & Model Training

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, contractor role. The position is part-time, ~15 hours per week, with compensation of $60–$120/hour. Immediate availability is preferred, with the first task expected within 24–48 hours after onboarding.

This worldwide remote opportunity focuses on Python-driven ML model development, training, and inference performance. Ideal candidates have advanced degrees in CS/ML or related fields and strong experience in machine

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.
• Ability to implement, debug, and validate complex ML 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 ML engineering tasks.

Skills

Python

Machine Learning

Research

Workflow debugging

Education

Master's/PhD in CS/ML/AI/Applied Math or related

Job description

Synthires is seeking an experienced ML Engineer (MSc or PhD) for a remote, contractor role. The position is part-time, ~15 hours per week, with compensation of $60–$120/hour. Immediate availability is preferred, with the first task expected within 24–48 hours after onboarding.

This worldwide remote opportunity focuses on Python-driven ML model development, training, and inference performance. Ideal candidates have advanced degrees in CS/ML or related fields and strong experience in machine