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.
We’re looking for an experienced Infrastructure Engineer who will bring focus and subject-matter expertise around AWS, on-premise deployment methods, and container frameworks. This is a unique opportunity to grow in the world of machine learning infrastructure and work with a team of passionate individuals committed to the mission of bringing ML to enterprise.
At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. You can find out more about our research areas at borealisai.com.
Please email your resume 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.