Job Title

What''''s the opportunity? Were looking for an enthusiastic software developer whos excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial services industry. As a Machine Learning Software Engineer II, youll be responsible for owning and delivering a project end to end everything from data pre-processing and exploration, to building and scaling ML algorithms and pipelines, to deployment and monitoring of production systems. At RBC Borealis, youll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support cuttingedge machine learning R&D. Your responsibilities include: To build cutting edge ML solutions throughout the research and product development lifecycle; To play a key role in the design and development of Borealis machine learning products; To partner with RBC Borealiss research and product teams to ensure the seamless delivery of these products; To apply engineering and data best practices to build robust and scalable large-scale machine learning software systems; To support projects with thorough documentation, design decisions, and technical advisory. Youre our ideal candidate if you have: A degree in Computer Science, Software Engineering, or equivalent field; 5+ years of experience as a software engineer; Experience building modular and robust software systems in Python or similar language; Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews and source control management; Experience working across the entire ML research and product lifecycle from prototyping to production is a plus; Experience building microservices, data pipelines and using relational and nonrelational databases is a plus; Experience working with data science tooling and deep learning frameworks is a plus; Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus. Whats in it for you? 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 curiositydriven research centre dedicated to achieving stateoftheart in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo, and Vancouver, we support academic collaborations and partner with worldclass 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 groundbreaking 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 legallyprotected factors. Disabilityrelated accommodations during the application process are available upon request. Applications will be accepted until 11:59 PM on the day prior to the application deadline date above. Job Skills Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages Additional Job Details Address: 777 BAY ST, TH 27:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-03-17 Application Deadline: 2026-06-01 Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community Stay intheknow about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the wellbeing of our clients and communities at jobs.rbc.com #J-18808-Ljbffr