Machine Learning Engineering Lead

What's the opportunity?

We’re looking for an engineering leader who will work at the forefront of machine learning technology to solve challenging problems and deliver solutions that generate significant value and impact for Borealis AI and RBC.

In this role, you will manage a team of Engineers involved in one or more ML projects. You will support those projects through the entire lifecycle—from discovery and research experimentation through to implementing applications and solutions and deploying them to production. You will provide your team with technical leadership, mentorship and guidance. You will work with other managers in engineering and across Borealis AI to deliver value and impact and help achieve our strategic goals. As a people manager you will be responsible for growing your team and fostering their career development and growth.

Your responsibilities will include:

Project Leadership:

  • Serving as an engineering technical lead for an ML project;
  • Establishing high standards and sharing your technical knowledge in machine learning, system architecture, software design, and engineering best practices;
  • Establishing and maintaining collaboration with research, product, and business development teams to successfully deliver the best solutions;
  • Collaborating with RBC business partners.

Functional Management:

  • Providing direction, leadership, and functional management to a team of engineers involved in one or more ML projects;
  • Growing and developing your team, helping each team member advance their career development;
  • Working with other Borealis AI managers to achieve the Borealis AI mission and strategy.

You're our ideal candidate if you have:

  • 7+ years experience with software development and delivery;
  • 2+ years experience managing engineering teams;
  • Experience working collaboratively with business, research, product and other technical teams;
  • Experience taking a leading role in building complex software products, fostering career growth of software engineers, and establishing software engineering best practices;
  • Led the full lifecycle of software product development including the successful deployment of products to production;
  • Experience working in an agile, matrix environment, including managing team members across multiple different projects;
  • Experience managing hybrid / remote teams and promoting an excellent employee experience regardless of where employees are located;
  • Experience in machine learning or a related field;
  • Experience with financial services and enterprise software;.

What's in it for you?

  • Be part of a dynamic & flexible working environment;
  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
  • 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, 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.

Inclusion and Equal Opportunity Employment 

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

Ready to Apply?