Machine Learning Software Engineer

RBC; Toronto; On-site; CAD 100,000 - 125,000; Full time

Job summary

A leading financial institution in Canada is seeking a Machine Learning Software Engineer to develop cutting-edge GenAI solutions. The role involves building scalable AI systems, partnering with research and product teams, and applying engineering best practices. Ideal candidates will have robust software development skills in Python and experience in the MLGenAI landscape. This position offers a dynamic working environment with opportunities for professional growth and impact across a large enterprise.

Benefits

Dynamic working environment

Professional growth opportunities

Collaborative team culture

Qualifications

• Experience building modular and robust software systems in Python or a similar language.
• Knowledge of professional software engineering best practices for the full software development life cycle.
• Experience working across the entire MLGenAI 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 with Front-end development and best practices is a plus.
• Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus.

Responsibilities

• Build cutting edge GenAI solutions throughout the research and product development lifecycle.
• Design and develop Borealis’ AI powered products.
• Partner with RBC Borealis’s research and product teams for product delivery.
• Apply engineering and data best practices to build robust AI powered software systems.
• Support projects with thorough documentation and technical advisory.

Skills

Big Data Analytics

Critical Thinking

Data Engineering

Decision Making

DevOps Engineering

Engineering Practices

Industry Knowledge

Machine Learning (ML)

Software Engineering

Software Engineering Practices

Software Product Design

Software Product Engineering

Job description

Job Description

What's the opportunity? 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 be responsible for owning and delivering a project end to end – everything from data pre-processing and exploration, to building and scaling MLGenAI powered projects, to deployment and monitoring of production systems. At RBC Borealis, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and is designing applications to support a large enterprise.

Responsibilities

• To build cutting edge GenAI solutions throughout the research and product development lifecycle;
• To play a key role in the design and development of Borealis’ AI powered products;
• To partner with RBC Borealis’s 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 AI powered software systems;
• To 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 MLGenAI 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 with Front-end development and best practices is a plus;
• Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus.

Benefits

• 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;
• 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.

Job Skills

• Big Data Analytics
• Critical Thinking
• Data Engineering
• Decision Making
• DevOps Engineering
• Engineering Practices
• Industry Knowledge
• Machine Learning (ML)
• Software Engineering
• Software Engineering Practices
• Software Product Design
• Software Product Engineering

Additional Job Details

• Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W: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: 2025-12-16
• Application Deadline: 2026-02-02
• Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

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Application Information

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.