Job Description

RBC Borealis is looking for an enthusiastic Research Engineer Lead who’s excited by the opportunity of being at the forefront of machine learning technology and working on extremely challenging problems in the financial services industry. As a Research Engineer Lead, you’ll be part of a collaborative team delivering AI projects end to end – everything from scoping and defining the AI problem, to data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. At RBC Borealis you’ll be joining a team that works directly with leading researchers in machine learning, have access to rich and massive datasets, and offers the computational resources to support cutting-edge machine learning R&D.

Your responsibilities include:

• Developing architecture specification and reviewing technical and configuration documentation for all users (customers, engineering teams, product teams); resolving AI solution deployment issues;
• Leading team to build and deploy highly scalable and secure AI platforms, applications, and systems that run in various cloud infrastructures and AI devices successfully;
• Establishing trusted advisory stakeholder relationships, and acting as SME for AI related products and services in specific verticals; staying current on the latest AI technologies and tools;
• Collaborating internally and with clients to understand and assess customer business requirements; defining the architectural framework of AI solutions to meet business needs.

You’re our ideal candidate if you have:

• Experience leading cross-functional machine learning research initiatives in product-centric environments;

• Involvement across the research and product development lifecycle, from prototyping to production, and engaging with multiple stakeholders to develop solutions that meet business needs;

• Proficient in Python, data science tooling, and deep learning frameworks;

• Publication record in relevant top tier AI/ML conferences a plus;

• Experience with NLP, LLMs, or financial services domain a plus;

• Experience developing open-source tools, etc. a plus.

​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 RBC Borealis:

RBC Borealis, an RBC Institute for Research, is a curiosity-driven research center 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 centers 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, Large Language Models, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

Job Skills

Data Science, Decision Making, Emerging Technologies, Group Problem Solving, Machine Learning, Multi-Level Communication, Programming Languages

Additional Job Details

Address:

401 GEORGIA ST W:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-09-10

Application Deadline:

2025-10-20

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above