Machine Learning Researcher

RBC•Waterloo, ON

7d•Onsite

About The Position

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.

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

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