Remote ML Engineer — Training Pipelines & Inference

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

Benefits offered by this job

Remote work for worldwide locations

Flexible schedule

Immediate onboarding

Job summary

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

The role is approximately 15 hours per week, offering flexible scheduling and immediate onboarding. Compensation ranges from $60 to $120 per hour for remote worldwide work.

Qualifications

• Master's degree or PhD in Computer Science, ML, 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 ML 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; optimize memory and performance.
• Create, solve, review, and validate challenging ML engineering tasks.

Skills

Machine learning experience

Python

Coding agents experience

Education

Master's or PhD in a quantitative field

Tools

Python

Job description

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

The role is approximately 15 hours per week, offering flexible scheduling and immediate onboarding. Compensation ranges from $60 to $120 per hour for remote worldwide work.