Machine Learning Researcher

Machine Learning Researcher — RBC Borealis Job Description At RBC Borealis, you’ll 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. We're looking for an enthusiastic Machine Learning Researcher who’s excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a Machine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects. Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models. Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more. Your responsibilities include: 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. You're our ideal candidate if you have: 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. What’s 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 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. 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 legally‑protected factors. Disability‑related accommodations during the application process are available upon request. Job Skills Data Science Decision Making Deep Learning Emerging Technologies Group Problem Solving Machine Learning Multi‑Level Communication Programming Languages Additional Job Details Address: 401 GEORGIA ST W:VANCOUVER City: Vancouver Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2025‑04‑22 Application Deadline: 2026‑02‑23 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above #J-18808-Ljbffr