Machine Learning Software Engineer

RBC; Toronto; On-site; CAD 100,000 - 150,000; Full time

Job summary

RBC Borealis seeks an enthusiastic Machine Learning Software Engineer to own end-to-end projects—from data preprocessing and exploration to building and scaling ML algorithms and pipelines, through deployment and monitoring of production systems.

You will join a team working with leading ML researchers, leveraging large datasets and substantial computational resources to push cutting-edge AI in financial services.

Qualifications

• Experience building ML-enabled software systems.
• Strong Python or similar language proficiency.
• Familiarity with ML lifecycle from data prep to production.
• Knowledge of software engineering best practices (CI/CD, testing, code reviews).
• Experience with scalable data pipelines and databases is a plus.

Responsibilities

• Build cutting edge ML solutions across research and product development lifecycles.
• Design and develop Borealis ML products in collaboration with researchers and product teams.
• Ensure seamless delivery of ML products with robust documentation and technical decisions.
• Apply engineering and data best practices to create robust, scalable ML software systems.
• Support projects with clear design decisions and technical advisory.

Skills

Big Data Analytics

Critical Thinking

Decision Making

Industry Knowledge

Machine Learning (ML)

Software Engineering

Software Product Design

Job description

What's the opportunity?

RBC Borealis is 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 algorithms and pipelines, 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 offers the computational resources to support cutting-edge machine learning R&D.

Job Description

RBC Borealis is 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 algorithms and pipelines, 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 offers the computational resources to support cutting-edge 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 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 machine learning software systems;
• To support projects with thorough documentation, design decisions, and technical advisory.

You're our ideal candidate if you have:

• 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 & 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 The AI Group

RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery — ensuring RBC remains at the frontier of AI-enabled value creation.

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.

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.

Applications will be accepted until 11:59 PM on the day prior to the application deadline date above.

Job Skills

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

Additional Job Details

• Address: 777 BAY ST, TH 27:TORONTO
• City: Toronto
• Country: Canada
• Work hours/week: 37.5
• Employment Type: Full time
• Platform: HUMAN RESOURCES & BMCC
• Job Type: Regular
• Pay Type: Salaried
• Posted Date: 2026-07-27
• Application Deadline: 2026-09-30

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