Senior Machine Learning Engineer

Location: Burnaby, British Columbia, Canada; in-office expectation of at least 50% of the time monthly

Salary: CAD 168,000–210,000 per year, plus equity and other compensation components

Company

hirify.global provides secure financial services for customers sending and managing money across borders.

What you will do

• Lead the end-to-end machine learning lifecycle from raw data and exploratory analysis through model training, evaluation, and deployment.
• Design, build, and scale feature pipelines for batch and real-time machine learning applications.
• Turn machine learning prototypes into reliable, customer-facing systems with data scientists, product owners, and engineers.
• Apply MLOps practices including automated retraining, drift detection, CI/CD, monitoring, and observability.
• Mentor engineers, lead design reviews and technical discussions, and maintain high code quality standards.

Requirements

• Degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent practical experience.
• 8+ years of experience delivering machine learning systems in production.
• Strong programming skills in Python, Go, Scala, or a similar language.
• Hands-on experience with PyTorch, scikit-learn, NumPy, or comparable machine learning frameworks.
• Experience with AWS, GCP, or Azure.
• Ability to work in the Burnaby office at least 50% of the time monthly.

Nice to have

• Experience with deep learning, large language models, causal inference, personalization, knowledge graphs, or natural language processing.

Culture & Benefits

• Connected Work Culture with regular in-person collaboration and at least three office days per week typically expected.
• Four weeks of vacation.
• Health, mental health, and family-forming benefits.
• RRSP plan with company match and employee stock purchase plan.
• Life insurance, disability coverage, and continuing education support.