Deadline:
September 07, 2025
Location(s)
Canada
The RBC Borealis work environment is hybrid. Interns are required to work out of the office three days a week.
Overview
Details
About RBC Borealis
RBC Borealis is comprised of top Al researchers and engineers and motivated by the pursuit of solving intelligence, RBC Borealis is advancing machine learning science, by utilizing the latest Al capabilities to build solutions that address some of the biggest challenges in financial services today.
Recognized for its industry-leading work around responsible and ethical Al and its commitment to Al innovation, which includes 90+ scientific publications in top-tier academic venues, 105+ patents and open-source activity. The institute performs research in key focus areas, including deep learning, time series forecasting, reinforcement learning, explainability, causality, behavioural modeling and more.
About the RBC Borealis ML Research Internship Program
Our focus is on contributing to an AI ecosystem of the future — a diverse and inclusive community whose work truly improves people’s lives. RBC Borealis typically offers research internships across all its labs in Canada. At this time, our internship program is running in a hybrid work environment. Interns support research on a wide variety of theoretical and applied machine learning projects.
If you are looking to expand your experience and enhance your university education by working on real-life business challenges, with a fantastic team of people who will deeply care about your success and progress, we encourage you to apply for the RBC Borealis Internship program.
Joining as an intern at RBC Borealis will grant you unique access to massive structured and unstructured datasets, tools, GPUs, and resources necessary to build game-changing statistical models.
Being part of our team means you’ll have the opportunity to publish original research in peer-reviewed academic conferences, such as NeurIPS, ICLR, ICML, CVPR. And you’ll be working with some of the brightest minds in AI.
Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Qualifications
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Ability to implement state-of-the-art machine learning techniques
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High motivation to solve challenging research problems
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Passion for data, algorithms, and statistics
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Previous publications at a top-tier AI conference
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Experience with writing modular, robust, scalable software in Python
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Familiarity with the Unix command line and bash scripting
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Proficiency with deep learning packages, such as Tensorflow, Keras, and PyTorch
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A deep understanding of machine learning algorithms and/or statistical modeling
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Pursuing a graduate degree in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)
Students applying from outside of Canada are welcome to take part in the ML research internship program. The start date for the internship will depend on when the work permit is approved. International students will complete a six-month internship term. It’s important for students to be flexible with their start date.
Students must be enrolled in a Canadian university co-op program to participate in the engineering co-op program.
Dates
Deadline: September 07, 2025
Cost/funding for participants
All RBC Borealis internships are paid.
Un-save Opportunity
Internships, scholarships, student conferences and competitions.
