Keyi Tang

Senior Research Engineer at RBC Borealis

Keyi Tang is a Senior Research Engineer at Borealis AI, specializing in causal machine learning for data-driven decision making since January 2020. Prior experience includes a role as an Applied Scientist in the Spoken Language Understanding team at Amazon Alexa, and as a Data Scientist and NLP Engineer at ForeSee, where state-of-the-art deep learning models for natural language understanding were prototyped. Keyi Tang began a research career as a Research Assistant in the Human Communication Technology Lab at the University of British Columbia, contributing to the development of personalized computational biomechanical models, and served as a teaching assistant for various engineering courses. Educational credentials include a Master of Applied Science in Electrical and Computer Engineering from the University of British Columbia and a Bachelor of Engineering in Electrical and Electronics Engineering from the University of Electronic Science and Technology of China.

Location

Vancouver, Canada

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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.


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Headquarters

Toronto, Canada

Employees

501-1,000

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