Machine Learning Software Engineer Team Lead

Royal Bank of Canada•Toronto, ON

68d•Onsite

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.

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