What’s the opportunity?

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 foundation models, world models, agentic AI, time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and engineering, to solve critical challenges in the financial services industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Interns will support research on a diverse range of theoretical and applied machine learning projects. By working at RBC Borealis, you will gain unique access to extensive structured and unstructured datasets, along with the tools and resources needed to develop groundbreaking machine learning models. Being part of our team will provide you with the opportunity to publish original research at respected peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, and CVPR and/or work on cutting-edge AI product development.

Internship opportunities are available in the following areas:

• Responsible AI
• Agentic AI
• World Models
• Large Language Models (LLMs)
• Causal Inference
• Financial AI & FinTech
• Deep Learning & Neural Architectures
• Temporal Point Processes
• Reinforcement Learning
• Natural Language Processing
• Computer Vision & Multimodal AI
• Explainable AI & Model Interpretability
• Unsupervised and Semi-supervised Learning.

You’re our ideal candidate if you have:

• Pursuing a graduate degree in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)
• Previous publications at a top-tier AI conference;
• Experience working with a development team to transfer research work into production is a desirable asset;
• Proficient with writing modular, robust, scalable software in Python;
• Experience with data processing frameworks such as Tensorflow, Keras, and PyTorch;
• Experience with building and deploying machine learning algorithms;
• Previous experience with the Unix command line and bash scripting;
• A deep understanding of machine learning algorithms;
• Ability to implement state-of-the-art machine learning techniques;
• High motivation to solve challenging research problems;

Internship Duration:

4 months (January 11th, 2027 to April 23rd, 2027)

Application Deadline: September 28th, 2026 at 11:59pm (ET).

(Please note that applications will be reviewed after the application deadline, and we will contact selected candidates to schedule interviews after the deadline has passed).

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 also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.