Location: Toronto, 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 advancing the 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 member of the Product Management team, you’ll get a chance to build innovative AI products for the financial industry and beyond through a deep understanding of our AI capabilities applied to real-world scenarios. You’ll be responsible for turning research into full-fledged products and will work closely with the business development, engineering, and research teams to deeply understand the problem space and define compelling products.
At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning. Our mission is to think big and go beyond what’s possible today to deliver competitive AI products. This is a rare opportunity to build the skills required to make machine learning work in the enterprise. You can find out more about our research areas at www.borealisai.com.
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.