Gilbert Jiang
Senior Machine Learning Engineer at Meta
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolGilbert Jiang is a Senior Machine Learning Engineer with 13 years of experience building production-grade ML systems across fintech, enterprise consulting, and social media at companies including Nuula, Deloitte, and Meta. He leads ML teams and end-to-end pipelines—designing models, deploying at scale on AWS/GCP, and implementing monitoring and CI/CD—while remaining hands-on with Python, PyTorch/TensorFlow, and time-series and vision models. Notable outcomes include a loan pricing model that cut MAE by 300% and a Bayesian LSTM cash-flow forecaster with strong precision/recall, as well as large-scale video recommendation work at Meta. His background in robotics and mechatronics (MASc) has produced three research publications and informs a systems-first approach to ML engineering. A former Kaggle top-5% competitor, he combines quantitative rigor with practical software and data engineering skills across databases, Docker, and cloud services. Based in Toronto, he’s as comfortable recruiting and mentoring teams as he is implementing the low-level details that make models reliable in production.
13 years of coding experience
10 years of employment as a software developer
Bachelor of Applied Science in Engineering Science (BAScs.), Aerospace Engineering, Bachelor of Applied Science in Engineering Science (BAScs.), Aerospace Engineering at University of Toronto
Stackoverflow
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Github contributions (5)
gilbertjiang/single-pacman-search
Jun 2016 - Feb 2018
Contributions:1 push, 1 branch in 1 year 7 months
gilbertjiang/cvTest
Feb 2015 - Jun 2016
Contributions:2 pushes, 1 branch in 1 year 4 months
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