Research Scientist - Machine Learning For Speech Synthesis at Ubisoft Montréal
Montreal, Quebec, Canada
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Summary
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Julian Zaidi is a research scientist specializing in machine learning for speech synthesis with nine years of experience bridging academic rigor and industrial R&D. Based in Montreal, he leads a small multidisciplinary team at Ubisoft La Forge developing deep learning text-to-speech systems and has a track record of moving prototype algorithms into production-grade research projects. His background in aerospace and mechanical engineering, plus hands-on experience in flight and fluid mechanics, gives him a unique quantitative perspective on modeling and signal processing challenges. Comfortable across Python, C++, MATLAB and PyTorch, he pairs strong mathematical foundations with practical engineering—having applied ML to biomechanics and prosthetics early in his career. Colleagues value him for combining leadership of mixed teams (R&D developers, researchers, post-grads) with a habit of shipping reproducible, experiment-driven results.
9 years of coding experience
6 years of employment as a software developer
Mathematics, Physics and Chemistry, Mathematics, Physics and Chemistry at Advanced Undergraduate Coursework in Mathematics & Science - PCSI/PC*
Master of Science (M.S.), Mechanical Engineering, Master of Science (M.S.), Mechanical Engineering at Université de Montréal - École Polytechnique de Montréal
Engineering degree, Aerospace, Aeronautical and Astronautical Engineering, Engineering degree, Aerospace, Aeronautical and Astronautical Engineering at ISAE-SUPAERO
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