Location: Toronto

What's the opportunity?

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 pursuing of 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 Machine Learning Research Team Lead, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We’re a lab that supports research on a wide variety of theoretical and applied machine learning projects.  Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing machine learning models.

Being part of our team means you’ll also have the opportunity to contribute to the AI community, including by publishing original research at venues such as NeurIPS, ICLR, ICML, CVPR, ACL and more.

Your responsibilities include:

  • Building and executing a technology roadmap that produces strategic, long-term technology capabilities to enable competitive products;
  • Developing novel AI solutions that facilitate impactful products;
  • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;
  • Working with the development team to transfer research work into production;
  • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;
  • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities;
  • Managing, growing, and supporting a team of researchers.

You’re our ideal candidate if you have:

  • A passion for solving open problems using data and algorithms;
  • 2+ years’ experience in managing industrial research teams;
  • A PhD in a sub-area of AI, or demonstrated research track record by means of publications and/or sophisticated AI product experience;
  • Ability to formulate and drive a research project independently without close supervision;
  • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.

How to apply:

Please email your CV, Google Scholar (or equivalent), GitHub (or equivalent) portfolio to mi.research@borealisai.com and include where you heard about this opportunity.

What's in it for you?

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
  • Freedom to publish and massive datasets;
  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
  • Leaders who support your development through coaching and managing opportunities.
  • Ability to make a difference and lasting impact from a local-to-global scale.

About Borealis AI

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.