Machine Learning Software Engineer

RBC Borealis, the AI research and engineering group at RBC, is seeking a Machine Learning Software Engineer for a 4-8 month internship during the Winter 2027 term. The role involves building ML software solutions for complex financial challenges, collaborating with research and business teams, and taking projects from initial data processing to deployment. This is a full-time, paid position based on-site in Toronto, Calgary, or Vancouver.

• Build machine learning software solutions to solve real-world problems.
• Collaborate with research and business teams to define and implement the best approaches.
• Optimize algorithms and prototypes for efficient, production-ready implementation.
• Extract, transform, and load massive datasets using distributed computing frameworks.
• Document design decisions, usage, and system capabilities for your projects.

• Currently pursuing a bachelor's or master's degree in Computer Science, Computer Engineering, Data Science, Mathematics, or a related field.
• Prior software development experience, including previous internships or co-ops.
• Proficiency in at least one major programming language such as C++, C#, Java, or Python.
• Familiarity with the Unix command line and bash scripting.
• Experience with deep learning libraries like TensorFlow, Keras, or PyTorch.