Job Title

Description Du Poste At RBC Borealis, youll be joining a team of leading researchers and software engineering 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. Were looking for an enthusiastic Machine Learning Research Engineer whos 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, youll be part of a collaborative group who 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 and efficient solutions that can only be achieved through the use of machine learning. Your responsibilities include: 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. Youre our ideal candidate if you have: A masters 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. Whats in it for you? 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 stateoftheart in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo, and Vancouver, we support academic collaborations and partner with worldclass 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 groundbreaking problems in diverse fields. Inclusion and 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 legallyprotected factors. Disabilityrelated accommodations during the application process are available upon request. Comptences professionnelles Algorithmes dapprentissage automatique, Analyses statistiques, Analytique prdictive, Apprentissage profond, Exploration de donnes, Gestion de mgadonnes, Langages de programmation, Machine Learning (ML), Science des donnes Dtails supplmentaires de lemploi Adresse 777 BAY ST, TH 27:TORONTO Ville Toronto Pays Canada Nombre dheures de travail par semaine 37.5 Type demploi temps plein Secteur dactivit Technologie et exploitation Type de fonction Rgulier Type dchelle salariale Salari Date daffichage 2025-12-08 Date limite des candidatures 2026-04-27 Remarque Les demandes seront acceptes jusqu'''' 23 h 59 le jour prcdant la date limite de prsentation des demandes ci-dessus Inclusion et quit en matire demploi RBC, nous pensons quun milieu de travail inclusif offrant des points de vue diversifis est essentiel notre croissance continue, en tant quinstitution financire parmi les plus grandes et les plus rentables au monde. Notre milieu de travail propice lexcellence, la collaboration, linnovation et lpanouissement professionnel de nos employs contribue concrtiser notre raison dtre et gnrer de la valeur pour nos clients et les collectivits o nous exerons nos activits. Pour cela, nous mettons en place des politiques et des programmes visant favoriser un milieu de travail fond sur le respect et lappartenance et offrant des occasions pour tous. Joignezvous notre communaut de talents Tenezvous au courant des formidables perspectives de carrire offertes RBC. Inscrivezvous et recevez des renseignements sur les plus rcentes offres demploi et les activits de recrutement qui vous intressent, de mme que des conseils en matire de gestion de carrire. Repoussez vos limites et btissez un nouvel avenir RBC. Dcouvrez comment nous mettons notre passion et notre motivation au service du bientre des clients et des collectivits jobs.rbc.com. #J-18808-Ljbffr