Internship Program

At RBC Borealis, we are committed to helping advance the next generation of AI experts. Apply your curiosity and expertise to a wide variety of theoretical and applied machine learning projects, with the support from our team and RBC.

RBC Borealis is comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, RBC Borealis is advancing machine learning science, by utilizing the latest AI 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 AI and its commitment to AI 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.

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.

• A. Vani,
  
  F. Tung, G. Oliveira, and H. Sharifi. International Conference on Machine Learning (ICML), 2024
• Memory Efficient Neural Processes via Constant Memory Attention Block. L. Feng,
  
  F. Tung, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. International Conference on Machine Learning (ICML), 2024
• Flora:
  Low-Rank Adapters Are Secretly Gradient Compressors. Y. Hao, Y. Cao, and L. Mou. International Conference on Machine Learning (ICML), 2024
• Conditional Diffusion Models as Self-supervised Learning Backbone for Irregular Time Series. Hamed Shirzad, R. Deng, H. Zhao, and
  
  F. Tung. Workshop at International Conference on Representation Learning (ICLR), 2024
• L. Feng,
  
  F. Tung, H. Hajimirsadeghi, Y. Bengio, and M. O. Ahmed. International Conference on Learning Representations (ICLR), 2024

RBC Borealis has partnered with Mitacs to offer internships in a collaborative setting between our labs and a Canadian university. This program requires that both applicants and their academic advisors submit a proposal to Mitacs for peer review. As such, it is recommended that applicants initiate this process with RBC Borealis at least 6 months before the intended internship start date.

• Ability to implement state-of-the-art machine learning techniques
• High motivation to solve challenging research problems
• Passion for data, algorithms, and statistics
• Previous publications at a top-tier AI conference
• Experience with writing modular, robust, scalable software in Python
• Familiarity with the Unix command line and bash scripting
• Proficiency with deep learning packages, such as Tensorflow, Keras, and Py Torch
• A deep understanding of machine learning algorithms and/or statistical modeling
• Pursuing a graduate degree in Computer Science, Engineering or another mathematically related field (e.g., Physics, Math, Statistics, etc.)

4 months

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.