Research Engineer II, Toronto

What's 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 in areas such as generative AI, natural language processing, and time seriesanalysis.

Position Overview We’re looking for an enthusiastic Machine Learning Research Engineer who’s excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a ML Research Engineer in the applied research team, you’ll be part of a collaborative group that aims to deliver AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning‑based products. The goal is to understand the needs of our business partners and bring to life these unique andefficient solutions that can only be achieved through the use of machine learning.

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 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 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

Become 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, and 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.

Skills

Algorithmes d’apprentissage automatique

Analyses statistiques

Analytique prédictive

Apprentissage automatique

Apprentissage profond

Exploration de données

Gestion de mégadonnées

Langages de programmation

Science des données

Location&Employment Address: 777 BAY ST, TH 27:TORONTO

City: Toronto

Country: Canada

Hours per week: 37.5

Employment type: Full time

Sector: Technology and operations

Role type: Regular

Salary level: Employee

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.

#J-18808-Ljbffr