Hojin Yang
Machine Learning Research Scientist at Canva
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolHojin Yang is a Machine Learning Research Scientist with eight years of experience building large-scale generative models and multi-modal AI systems, currently driving video generation and editing research at Canva. He has a track record of production-focused research and engineering—spanning distributed multi-node training, multi-GPU diffusion inference, and data pipeline design—developed at companies including Haiper, Talka.ai, and Layer 6 AI. Hojin holds an MASc in Applied Machine Learning from the University of Toronto and brings both academic rigor and hands-on systems expertise to core research efforts. He joined Canva via Leonardo.ai and is comfortable moving research into product contexts, especially for video and multimedia. Known simply as "learner" on GitHub and with a personal site hojinyang.github.io, he blends curiosity-driven exploration with practical model tuning and deployment experience.
8 years of coding experience
4 years of employment as a software developer
Master of Applied Science(MASc), Applied Machine Learning, Master of Applied Science(MASc), Applied Machine Learning at University of TorontoBachelor's degree, Computer Science, Bachelor's degree, Computer Science at Sungkyunkwan University
Github Skills (23)
spotify9
recommender9
python8
pythonic8
speech8
large-scale7
command-line-utility7
recommender-system7
scale7
speech-recognition6
weak-supervision6
tqdm6
youtube6
tensorflow5
dependency-free5
Programming languages (1)
Github contributions (5)
hojinYang/bayesian-critiquing-recommender
Apr 2021 - Jul 2021
Contributions:7 commits, 3 pushes in 2 months
hojinYang/hojinYang.github.io
Apr 2020 - Oct 2022
Contributions:86 commits, 82 pushes, 1 branch in 2 years 6 months
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