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Job Description What's the opportunity? RBC Borealis is at the forefront of artificial intelligence research and development, driving the innovative edge for the Royal Bank of Canada (RBC). Our team is dedicated to advancing the science of AI, delivering cutting-edge solutions that create substantial value for RBC and its customers. As part of RBC, you will have the opportunity to contribute to impactful projects within a leading financial institution, harnessing the power of AI to revolutionize the financial services industry. 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 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 plan the work and lead a team of software engineers to deliver the machine learning products and solutions; 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, robust, scalable software for machine learning and/or data software systems in Python or similar language; Experience leading a team of engineers through the full lifecycle of a project delivery; Experience working across the entire research and product lifecycle from prototyping to production; Exposure to distributed computing frameworks as well as containerization (eg. Docker, Kubernetes); 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 with data science tooling and deep learning frameworks 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. #Ll-POST #TechPJ Job Skills Big Data Analytics, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Results-Oriented, 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 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above 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 in-the-know 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 well-being of our clients and communities at jobs.rbc.com.

What you’ll do

The role involves owning the end-to-end delivery of machine learning projects, from data pre-processing to the deployment and monitoring of production systems. You will lead a team of software engineers to build scalable ML solutions and partner with research teams to ensure seamless product delivery.

Requirements

Candidates need experience building scalable software for ML systems in Python and leading engineering teams through the full project lifecycle. Proficiency in distributed computing, containerization (Docker, Kubernetes), and professional software engineering best practices is required.

Benefits

• Dynamic & Flexible Working Environment • Collaborative Team Culture • Professional Development Coaching • Career Management Opportunities

Listed skills

• Kubernetes · Preferred
• Docker · Preferred
• Decision Making · Preferred
• Critical Thinking · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Big Data Analytics
• Critical Thinking
• Decision Making
• Industry Knowledge
• Machine Learning (ML)
• Results-Oriented
• Software Engineering
• Software Product Design
• Python
• Distributed Computing
• Docker
• Kubernetes
• Deep Learning Frameworks
• Data Pre-processing
• ML Pipelines
• Source Control Management
• Agentic AI
• Responsible AI
• Workplace Inclusivity
• Pipelines
• AI Research
• Data Preprocessing
• Project Delivery
• Research
• Artificial Intelligence
• Financial Institution
• Big Data
• Containerization
• Version Control
• Code Review
• Software Development Life Cycle
• Financial Services
• Scalability
• Innovation
• Python (Programming Language)
• Language Experience Approach
• Machine Learning Algorithms
• Product Lifecycle Management
• Machine Learning
• New Product Development
• Prototyping
• Coaching
• Software Design
• Software Systems
• Tooling
• Value Creation
• Data Science
• Deep Learning
• Enthusiasm
• Docker (Software)

Job areas

• Software
• Technology
• Data & Analytics
• Engineering
• Finance & Accounting
• Machine Learning Software Engineer
• Machine Learning Engineer
• Software Developers
• Computer and Information Research Scientists