Remote ML Engineer - AI Model Development & Pipelines

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, contract-based role. The position focuses on Python-driven model development, training pipelines, inference systems, and performance optimization, with an emphasis on reproducible workflows and coding agents.

The contract is part-time (~15 hours/week) with flexible scheduling and immediate onboarding. Compensation is $60–$120/hour, reflecting expertise and project milestones, with worldwide remote availability.

Qualifications

• Master's degree or PhD in CS, ML, AI, mathematics, statistics, engineering, or related field.
• Strong professional or research experience in machine learning.
• Proficiency in Python and experience with 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 machine learning engineering tasks.

Skills

Python

ML workflows

Memory optimization

Numerical methods

Education

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

Job description

Synthires is seeking an experienced ML Engineer (MSc or PhD) for a remote, contract-based role. The position focuses on Python-driven model development, training pipelines, inference systems, and performance optimization, with an emphasis on reproducible workflows and coding agents.

The contract is part-time (~15 hours/week) with flexible scheduling and immediate onboarding. Compensation is $60–$120/hour, reflecting expertise and project milestones, with worldwide remote availability.