2027 Winter Student Opportunities RBC Borealis -Machine Learning Software Engineer, 4 Months - Montreal

About the role

Join RBC Borealis as a Machine Learning Software Engineer co-op in Montreal for 4 months. Work on end-to-end ML projects, collaborating with researchers and business teams to build scalable AI solutions.

Responsibilities

• Build machine learning software solutions for key problems.
• Collaborate with research and business teams to find optimal solutions.
• Optimize algorithms and prototypes for efficient implementation.
• Develop prototypes into polished, functional solutions.
• Document usage, design decisions, and capabilities thoroughly.
• Process large datasets using distributed computing frameworks like Hadoop and Spark.

Candidate Requirements

• Pursuing bachelor's or master's in Computer Science, Engineering, or equivalent.
• Some software development experience including co-ops or internships.
• Proficient in major programming languages such as C++, C#, Java, or Python.
• Familiarity with Unix command line and bash scripting.
• Experience with deep learning frameworks like TensorFlow, Keras, or PyTorch is a plus.
• Exposure to distributed computing frameworks and databases (SQL, NoSQL, graph) is an asset.

Program Details

• Location: Montreal, Canada.
• Duration: 4 months, full-time (37.5 hours/week).
• Employment type: Student/Co-op fixed term.
• Application deadline: 2026-09-21.
• Salaried position.
• Posted date: 2026-08-17.

About RBC Borealis

• RBC Borealis leads AI and data innovation at Royal Bank of Canada.
• Team includes architects, engineers, scientists, and product experts.
• Focus on cutting-edge research in machine learning and AI.
• Develops scalable, data-driven solutions for financial industry challenges.
• Locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver.