Summer Student RBC Borealis -Machine Learning Software Engineer

Position: 2026 Summer Student Opportunities RBC Borealis -Machine Learning Software Engineer, 4-8 Months

Job Description

LOCATION:

TORONTO, VANCOUVER, CALGARY,
What’s the opportunity?We’re looking for an enthusiastic software engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Co-op Machine Learning Software Engineer
, you’ll be involved a project end to end – everything from data pre-processing to implementing machine learning algorithms and front-end development.

At RBC Borealis, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at Your responsibilities include:

Building machine learning-based software solutions for solving important problems;

Collaborating with research and business teams to converge on the best solutions;

Optimizing algorithms and prototypical solutions for efficient implementation;

Extending prototypes into fully functional, polished solutions ready for internal and/or external use;

Supporting projects with thorough documentation of usage, design decisions and capabilities;

Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);

You’re our ideal candidate if you:

Are working on a bachelors or masters degree in Computer Science, Computer Engineering, Software Engineering, or equivalent;

Have some software development experience (including co-op and internships);

Have experience with writing software in one of the major languages such as C++, C#, Java, Python;

Have familiarity with the Unix command line and bash scripting;

Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;

Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, No

SQL and graph databases is an asset;

What's in it for you?

Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;

Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development.

With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.