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. Building machine learning-based software solutions for solving important problems;
Optimizing algorithms and prototypical solutions for efficient implementation;
Supporting projects with thorough documentation of usage, design decisions and capabilities;
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;
Hadoop, Spark) as well as SQL, NoSQL and graph databases is an asset;
Ability to make a difference and lasting impact from a local-to-global scale.
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.
Inclusion and Equal Opportunity Employment
At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
Inclusion and Equal Opportunity Employment
At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is January 18 , 2026 . Active Learning, Adaptability, Communication, Creativity, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative, Teamwork
Full time Platform:
Student/Coop (Fixed Term) Pay Type:
Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
