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About the Role

Join a team of leading researchers and software engineers specializing in machine learning. You will have access to rich and massive datasets, and computational resources to support novel product development touching machine learning areas such as generative AI, natural language processing, and time series analysis. This role is for an enthusiastic Machine Learning Researcher excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems, channeling a love of playing with real-world data into industry-disrupting solutions. The lab supports research on a wide variety of theoretical and applied machine learning projects, granting unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models. Being part of this team also offers the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world.

Responsibilities

Developing novel AI solutions that facilitate impactful products
Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques
Working with the development team to transfer research work into production
Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences
Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities

Requirements

A passion for solving open problems using data and algorithms
A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience
Ability to formulate and drive a research project independently without close supervision
Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch

Skills

Data Science
Decision Making
Deep Learning
Emerging Technologies
Group Problem Solving
Machine Learning (ML)
Multi-Level Communication
Programming Languages

Location

777 BAY ST, TH 27:TORONTO
Toronto
Canada

Work Type

Full time
Salaried

Education Level

Benefits

A comprehensive Total Rewards Program including bonuses and flexible benefits
Competitive compensation
Commissions
Stock options where applicable
Leaders who support your development through coaching and managing opportunities

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.