Lead ML Software Engineer - Production & Systems

RBC; Toronto; On-site; CAD 110,000 - 170,000; Full time

Job summary

RBC Borealis, part of the Royal Bank of Canada, seeks a Machine Learning Software Engineer to own end-to-end ML projects—from data prep to deployment. You will work closely with researchers and product teams to deliver scalable ML solutions within a leading financial institution.

Ideal candidates have strong Python-based ML software experience, hands-on leadership, and familiarity with distributed systems and containerization.

Qualifications

• Experience building modular, robust ML software in Python or similar
• Experience leading engineers through full project lifecycle
• Exposure to ML production workflows and data pipelines
• Knowledge of containerization and distributed computing practices

Responsibilities

• Build cutting-edge ML solutions across research and product lifecycle
• Lead a team of engineers to deliver ML products end-to-end
• Design and develop Borealis' ML software products
• Collaborate with research and product teams for smooth delivery
• Apply best practices for scalable ML software systems
• Document decisions and provide technical guidance

Skills

Python

Distributed computing

Team leadership

Machine learning

Tools

Docker

Kubernetes

Job description

RBC Borealis, part of the Royal Bank of Canada, seeks a Machine Learning Software Engineer to own end-to-end ML projects—from data prep to deployment. You will work closely with researchers and product teams to deliver scalable ML solutions within a leading financial institution.

Ideal candidates have strong Python-based ML software experience, hands-on leadership, and familiarity with distributed systems and containerization.