Job Overview At RBC Borealis, you’ll join a team of leading researchers and software engineers specializing in machine learning. You will work with rich, massive datasets and computational resources to develop AI products in areas such as generative AI, natural language processing, and time series analysis. As a Machine Learning Research Engineer, you will help deliver AI projects end‑to‑end, from data preprocessing and exploration to prototyping novel algorithmic solutions and software implementations of machine learning‑based products.
Responsibilities Build machine learning‑based software solutions.
Collaborate with business stakeholders to prototype machine‑learning solutions rapidly.
Conduct comparisons to existing algorithms and baselines.
Review, extend, and optimize prototype solutions.
Collaborate with the engineering team to integrate algorithms into products.
Develop reusable internal tools to facilitate research prototyping.
Support projects with thorough documentation, design decisions, and capabilities.
Qualifications Master’s or PhD degree in computer science, mathematics, physics, economics, or an equivalent field.
2+ years of applied machine learning experience in a high‑responsibility, low‑supervision environment.
Experience writing modular, robust, scalable software in Python 3.x.
Expertise in one or more of the following areas: deep learning, natural language processing, information retrieval.
Experience with deep learning packages such as PyTorch, JAX, or TensorFlow.




Knowledge of professional software engineering best practices across the full software development life cycle, including testing methods, coding standards, code reviews, and source control management.
Strong communication skills and a collaborative attitude.
Benefits Comprehensive Total Rewards Program, including bonuses, flexible benefits, competitive compensation, commissions, and stock options where applicable.
Coaching and management support for professional development.
Opportunity to make a lasting impact from a local‑to‑global scale.
Access to cutting‑edge research and collaboration with world‑class research centers.
Equal Prospect and Inclusion RBC is an equal‑opportunity employer committed to diversity and inclusion. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal/Native American status, or any other legally protected factor. Disability‑related accommodations during the application process are available upon request.
Job Details Address: 777 BAN Street, Suite 27, Toronto, Canada
Work hours/week: 37.5
Employment Type: Full time (Regular)
Platform: Technology and Operations
Pay Type: Salaried
Posted Date: 2025‑12‑08
Application Deadline: 2026‑11‑02 (Applications accepted until 11:59PM on the day prior to the deadline)

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📌 Research Engineer II (British Columbia)
🏢 RBC
📍 British Columbia