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 enthusiastic senior software developer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a Senior Machine Learning Software Developer, you’ll be responsible for owning and delivering a project end to end – everything from data pre-processing to implementing machine learning algorithms and front-end development. You’ll provide technical leadership, mentorship to junior engineers, and influence engineering best practices in your team.
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 www.borealisai.com.
Please email your CV, Google Scholar (or equivalent), GitHub (or equivalent) portfolio to email@example.com and include where you heard about this opportunity.
Borealis AI, a 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.