2027 Winter Student Opportunities RBC Borealis - Machine Learning Software Engineer, 4-8 Months

About the role

Join RBC Borealis as a Co-op Machine Learning Software Engineer working on end-to-end ML projects including data preprocessing, algorithm implementation, and front-end development. Locations include Toronto, Vancouver, and Calgary.

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 Benefits

• Work in a collaborative, progressive team environment.
• Opportunity to make impactful contributions from local to global scale.

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 AI research and scalable data-driven solutions.
• Locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver.