Research Engineer II

About the Opportunity

At RBC Borealis, you’ll be joining a team of leading researchers and software engineers specializing in machine learning. You will have access to rich and massive datasets, and to computational resources to support novel product development touching machine learning areas such as generative AI, natural language processing, and time series analysis.

Responsibilities

• Building machine learning-based software solutions
• Collaborating with business stakeholders to prototype machine-learning solutions rapidly
• Conducting comparisons to existing algorithms and baselines
• Reviewing, extending, and optimizing prototype solutions
• Collaborating with the engineering team to integrate algorithms into products
• Developing reusable internal tools to facilitate research prototyping
• Supporting projects with thorough documentation, design decisions, and capabilities

Qualifications

• A master’s or PhD degree in computer science, mathematics, physics, economics or equivalent
• 2+ years of applied machine learning experience in a high-responsibility, minimal-supervision environment
• Experience with writing modular, robust, scalable software in Python 3.x
• Expertise in a few 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 for 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

• Be part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
• 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 RBC Borealis

RBC Borealis, an RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state‑of‑the‑art in machine learning. Established in 2016 with labs in Toronto, Montreal, Waterloo, and Vancouver, we support academic collaborations and partner with world‑class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground‑breaking problems in diverse fields.

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, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal/Native American status or any other legally protected factors. Disability‑related accommodations during the application process are available upon request.

Professional Competencies

• Algorithms d’apprentissage automatique
• Analyses statistiques
• Analytique prédictive
• Apprentissage automatique
• Apprentissage profond
• Exploration de données
• Gestion de mégadonnées
• Langages de programmation
• Science des données

Job Details

• Address: 777 BAY ST, TH 27:TORONTO
• City: Toronto
• Country: Canada
• Hours per week: 37.5
• Type of employment: Full time
• Sector: Technology and exploitation
• Job function: Regular
• Salary scale type: Salaried
• Posting date: 2025-12-08
• Application deadline: 2026-11-02