Jonathan Smith is a Machine Learning Engineer with 16 years of experience applying ML to social impact and community-focused projects. He currently works at Meta on social impact initiatives after researching interpretability and time-series applications as a Machine Learning Scientist at Layer 6 AI. His background blends rigorous computer science training from Waterloo with business grounding from Wilfrid Laurier, enabling him to bridge research, product, and real-world deployment. Jonathan has a track record of translating mission-driven stories into technical solutions—he co-founded a film company that produced multilingual short films for nonprofits and later designed PeaceTech community programs. Early career roles include applying ML to intellectual property protection and building interpretable models for time-series problems, reflecting both applied engineering and research instincts. He is motivated by engineering positive change in communities and brings a rare mix of creative storytelling and ML technical depth to socially beneficial projects.
16 years of coding experience
6 years of employment as a software developer
Bachelor of Business Administration, Bachelor of Business Administration at Wilfrid Laurier University
Bachelor of Computer Science, Computer Science, Bachelor of Computer Science, Computer Science at University of Waterloo
Contributions:10 pushes, 1 branch in 3 years 2 months
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Jonathan Smith - Machine Learning Engineer at Meta