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About the Role

Join a team of leading researchers and software engineers specializing in machine learning at RBC Borealis. You will have access to rich datasets and computational resources to support novel product development in generative AI, natural language processing, and time series analysis. As a Senior Machine Learning Software Engineer, you will own and deliver projects end-to-end, from data pre-processing to deployment and monitoring of production systems.

Responsibilities

Lead development of machine learning-based software 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.

Requirements

A degree in Computer Science, Software Engineering, or equivalent field.
7+ years of experience as a software engineer.
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.

Skills

Big Data Analytics
Client Counseling
Coaching Others
Critical Thinking
Decision Making
Industry Knowledge
Machine Learning (ML)
Software Engineering
Software Product Design

Location

777 BAY ST, TH 27:TORONTO
Toronto
Canada

Work Type

Full time

Experience Level

7+ years of experience as a software engineer

Education Level

A degree in Computer Science, Software Engineering, or equivalent field

Benefits

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable.
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 Company

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.
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.

Equal Opportunity

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.