RBC Borealis
Alex Pashevich is a Senior Machine Learning Researcher at Borealis AI since September 2022, with prior experience as a Machine Learning Researcher. At Inria from September 2017 to October 2021, Alex served as a PhD Candidate and published five papers in top-tier conferences across various domains, including imitation and reinforcement learning, robotics, and computer vision. A research intern at Google from September 2020 to March 2021, Alex developed a multimodal transformer architecture that improved results on a Vision Language Navigation task by 74%. Earlier, as a research intern at Inria, Alex invented an outlier detection algorithm leveraging Gaussian mixture models, contributing to a publication in the Pattern Recognition Letters journal. Alex holds a PhD in Computer Science from Université Grenoble Alpes and a Master's degree in Computer Science from Grenoble INP - UGA, as well as a Bachelor's degree in Applied Mathematics and Physics from the Moscow Institute of Physics and Technology.
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RBC Borealis
RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to transform finance through world-class AI research, solutions, and a resilient data platform. Our teams are based in Toronto, Waterloo, Montreal, Calgary, and Vancouver, working together to reshape how RBC leverages technology to create value. We are hiring for several roles! Visit rbcborealis.com/careers/ to learn more.