Fall 2024 ML Researcher Internship

Toronto, Vancouver, Montreal, Waterloo

What's the opportunity?

Borealis AI is an AI and Machine Learning Research Institute backed by Royal Bank of Canada. Comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, Borealis AI is advancing machine learning science, while building leading products for financial services. With 85+ scientific publications in top-tier academic venues, the institute performs research in areas, such as deep learning, reinforcement learning, language processing, AI safety, and more. Borealis AI was founded in 2016 and has over 100 team-members across its four labs in Canada.

Borealis AI anticipates our internship programs to be in a hybrid work environment. Interns support research on a wide variety of theoretical and applied machine learning projects. Working at Borealis AI will grant you unique access to massive structured and unstructured datasets with the tools 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.

Internship opportunities are available in the following areas:

  • AutoML;
  • Bayesian Optimization;
  • Computer Vision;
  • Deep Learning;
  • Graphs and Optimization;
  • Interpretability and Explainability;
  • Natural Language Processing;
  • Privacy and Fairness;
  • Reinforcement Learning;
  • Time Series Forecasting;
  • Unsupervised and Semi-supervised Learning.

You're our ideal candidate if you have:

  • Ability to implement state-of-the-art machine learning techniques;
  • High motivation to solve challenging research problems;
  • Passion for data, algorithms, and statistics;
  • 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 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 PyTorch;
  • A deep understanding of machine learning algorithms and/or statistical modeling.

Internship Duration:

4 months (September - December 2024)

Application Deadline:  May 14, 2024

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

 

Ready to Apply?