Machine Learning Software Engineer Team Lead

RBC • Toronto, ON

104d

About The Position

RBC Borealis is at the forefront of artificial intelligence research and development, driving the innovative edge for the Royal Bank of Canada (RBC). Our team is dedicated to advancing the science of AI, delivering cutting-edge solutions that create substantial value for RBC and its customers. As part of RBC, you will have the opportunity to contribute to impactful projects within a leading financial institution, harnessing the power of AI to revolutionize the financial services industry. We are looking for a Machine Learning Software Engineer Team Lead for AI Solutions. The role focuses on technical leadership with the goal of delivering products for the financial services industry. The candidate will lead a team of individual contributors, providing technical direction, day-to-day guidance and support. Ensures the team delivers high-quality solutions aligned with project and company goals. Your responsibilities include: Technical Leadership Architect and guide development of machine learning systems, making critical technical decisions that shape project success; Stay ahead of ML/AI advancements and determine their applicability to our business objectives; Drive technical excellence through code reviews, design discussions, and hands-on problem-solving when challenges arise; Remain hands-on with the team, occasionally contributing code and participating in delivery as needed. Team Management Lead a team of ML engineers, starting with a small group of individual contributors; Break down complex ML projects into executable milestones, delegating effectively while maintaining accountability; Coach and mentor team members through technical challenges, empowering them to make sound decisions independently. You’re our ideal candidate if you have: A degree in Computer Science or a related technical field; 7+ years of experience as a software engineer; 1+ years of experience in technical leadership, you are comfortable in setting the technical strategy for your team across multiple work streams; Hands on experience in Gen AI technologies and deep understanding of the Gen AI product life cycle; Experience with Machine Learning systems; Exceptional communication skills, bridging the gap between technical and non technical team members; Experience in managing/mentoring/coaching people and enabling and empowering junior engineers. What’s in it for you? Lead 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 is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank. 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.

Requirements

• A degree in Computer Science or a related technical field
• 7+ years of experience as a software engineer
• 1+ years of experience in technical leadership, you are comfortable in setting the technical strategy for your team across multiple work streams
• Hands on experience in Gen AI technologies and deep understanding of the Gen AI product life cycle
• Experience with Machine Learning systems
• Exceptional communication skills, bridging the gap between technical and non technical team members
• Experience in managing/mentoring/coaching people and enabling and empowering junior engineers

Responsibilities

• Architect and guide development of machine learning systems, making critical technical decisions that shape project success
• Stay ahead of ML/AI advancements and determine their applicability to our business objectives
• Drive technical excellence through code reviews, design discussions, and hands-on problem-solving when challenges arise
• Remain hands-on with the team, occasionally contributing code and participating in delivery as needed
• Lead a team of ML engineers, starting with a small group of individual contributors
• Break down complex ML projects into executable milestones, delegating effectively while maintaining accountability
• Coach and mentor team members through technical challenges, empowering them to make sound decisions independently

Benefits

• Lead 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level