ML Software Engineer: Build Production-Grade ML Systems

RBC; Toronto; On-site; CAD 100,000 - 150,000; Full time

Job summary

RBC Borealis seeks an enthusiastic Machine Learning Software Engineer to own end-to-end projects—from data preprocessing and exploration to building and scaling ML algorithms and pipelines, through deployment and monitoring of production systems.

You will join a team working with leading ML researchers, leveraging large datasets and substantial computational resources to push cutting-edge AI in financial services.

Qualifications

• Experience building ML-enabled software systems.
• Strong Python or similar language proficiency.
• Familiarity with ML lifecycle from data prep to production.
• Knowledge of software engineering best practices (CI/CD, testing, code reviews).
• Experience with scalable data pipelines and databases is a plus.

Responsibilities

• Build cutting edge ML solutions across research and product development lifecycles.
• Design and develop Borealis ML products in collaboration with researchers and product teams.
• Ensure seamless delivery of ML products with robust documentation and technical decisions.
• Apply engineering and data best practices to create robust, scalable ML software systems.
• Support projects with clear design decisions and technical advisory.

Skills

Big Data Analytics

Critical Thinking

Decision Making

Industry Knowledge

Machine Learning (ML)

Software Engineering

Software Product Design

Job description

RBC Borealis seeks an enthusiastic Machine Learning Software Engineer to own end-to-end projects—from data preprocessing and exploration to building and scaling ML algorithms and pipelines, through deployment and monitoring of production systems.

You will join a team working with leading ML researchers, leveraging large datasets and substantial computational resources to push cutting-edge AI in financial services.