Machine Learning Software Engineer

RBC; Waterloo; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading financial institution is seeking a Machine Learning Software Engineer to work on innovative ML solutions. This role involves designing robust software systems, partnering with research teams, and contributing throughout the development lifecycle. Ideal candidates should have experience in Python and familiarity with software engineering best practices. Opportunities for growth and a dynamic work environment are provided.

Benefits

Dynamic and flexible working environment

Opportunities for growth

Supportive leaders

Qualifications

• Experience building modular and robust software systems in Python or similar language.
• Knowledge of professional software engineering best practices, including testing methods.
• Experience working across the entire ML research and product lifecycle from prototyping to production is a plus.

Responsibilities

• Build cutting edge ML solutions throughout the research and product development lifecycle.
• Play a key role in the design and development of Borealis’ machine learning products.
• Partner with research and product teams for seamless product delivery.

Skills

Python

Software engineering best practices

Machine learning lifecycle

Microservices

Data pipelines

CI/CD

Job description

Overview

We’re looking for an enthusiastic software developer who’s 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, you’ll own and deliver projects end to end – from data pre-processing and exploration, to building and scaling ML algorithms and pipelines, to deployment and monitoring of production systems. At RBC Borealis, you’ll join a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and has the computational resources to support cutting-edge ML R&D.

Responsibilities

• Build cutting edge ML solutions throughout the research and product development lifecycle.
• Play a key role in the design and development of Borealis’ machine learning products.
• Partner with RBC Borealis’s research and product teams to ensure the seamless delivery of these products.
• Apply engineering and data best practices to build robust and scalable large-scale machine learning software systems.
• Support projects with thorough documentation, design decisions, and technical advisory.

Qualifications

• 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 non-relational 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.

What’s in it for you?

• Be part of a dynamic and flexible working environment.
• Join a team that thinks progressively and works collaboratively, with opportunities for growth.
• 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. We focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, integrating AI research and data engineering to solve critical challenges in the financial industry. We build intelligent, 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 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.

Additional 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: 2025-04-29
• Application Deadline: 2025-10-20