Location: Montreal, Waterloo, Vancouver
Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.
As a Data Engineer, you’ll focus on transforming messy, unstructured data into clean, structured datasets ready for use in machine learning applications. You’ll work collaboratively with Machine Learning Developers and Researchers to understand how data must be structured, then create scripts to extract, load and transform raw data. On any given day, you may be involved in a broad set of tasks that range from working with distributed systems and creating data monitoring services to writing an API for developer access. If thinking about the potential of artificial intelligence excites you, join us in pushing the boundaries of what’s possible.
Please email your CV and GitHub (or equivalent) portfolio to email@example.com and don’t forget to include how 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.