About the role#
RBC Borealis is the AI research and engineering group at RBC. We are hiring a Machine Learning Software Engineer for a 4 to 8 month internship during the Winter 2027 term. You will work alongside researchers and business teams to develop software solutions that address complex financial challenges. This role involves the full project lifecycle, from initial data processing to the deployment of functional machine learning models.
What you'll do#
- 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.
What you'll need#
- 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.
- Exposure to distributed computing frameworks or database technologies is an asset.
Location & details#
- This is a full-time, paid position.
- The role is based on-site in Toronto, Calgary, or Vancouver.
- Applicants must submit a resume and academic transcripts in a single PDF document.
About RBC
RBC is a global financial institution based in Toronto, Ontario. It operates as Canada's largest bank and maintains a presence in the United States and 27 other countries. The company employs over 100,000 people and serves more than 17 million clients. Its business model covers banking, investing, insurance, and capital markets.
How to get in at RBC
Securing an internship at RBC requires speed and preparation. Because the bank receives a high volume of applications, timing is critical. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first. Early applicants get seen before the pile grows, which helps you avoid getting lost in the system. Beyond speed, you should focus on networking with the right people. Intern Insider surfaces the recruiters behind the company's roles so you can reach out directly to ask about the role or a referral. This direct approach materially improves response rates compared to submitting a cold application.
