Location: Toronto, Montreal, Vancouver
Borealis AI is the R&D arm of RBC, and consists of a team of researchers, research engineers, data scientists, and software developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. With a focus on curiosity-driven research, our team is dedicated to pursuing of state-of-the-art by publishing at top-tier conferences, developing impactful products with the potential to reach millions of people, and supporting the broader AI community.
As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab 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 also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.
Please email your CV, Google Scholar (or equivalent), GitHub (or equivalent) portfolio to firstname.lastname@example.org and include where you heard about this opportunity.
Borealis AI, an RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Edmonton, Waterloo, and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.