Machine Learning Software Engineer

ODAIA; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading financial services firm in Toronto is seeking a Machine Learning Software Engineer to tackle challenging tasks at the crossroads of AI and finance. In this role, you will build advanced GenAI solutions, design and collaborate on AI-driven products, supporting projects with rigorous documentation. Candidates should have robust experience in Python and knowledge of the full software development lifecycle, from prototyping to production. The environment promotes innovation and teamwork, supporting individual growth and impactful contributions.

Benefits

Dynamic & flexible working environment

Opportunities for development and coaching

Collaborative team culture

Ability to impact globally

Qualifications

• Experience building software systems in Python or similar language.
• Familiarity with software development life cycle including testing and code reviews.
• Experience working from prototyping to production in ML/GenAI.

Responsibilities

• Build AI solutions through the product development lifecycle.
• Design and develop AI powered products.
• Collaborate with research and product teams.

Skills

Modular software systems in Python

Software engineering best practices

ML/GenAI research lifecycle

Microservices and data pipelines

Front-end development

DevOps engineering

Job description

Job Description

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 ML/GenAI powered projects, to deployment and monitoring of production systems.

Responsibilities

• Build cutting edge GenAI solutions throughout the research and product development lifecycle.
• Play a key role in the design and development of Borealis’ AI powered 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 AI powered 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/GenAI 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.

Location

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

Toronto, Canada