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 Borealis AI’s marketing manager, you will contribute to the group’s brand, marketing activities and public relations. You will be responsible for internal and external communications of Borealis AI’s research and products while collaborating with world-class AI experts and turning science into engaging content that can be easily understood by our audiences.
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.
Have led marketing, branding and/or PR efforts in technology companies or early stage startups. We are looking for demonstrated ability to turn complex technologies into simple and captivating content that engages technology and business audiences.
Please email your CV and cover letter to email@example.com 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.