Summary
Marco Zennaro is an engineering manager leading YouTube Trust & Safety with 17+ years of experience designing machine learning and computer vision systems that operate reliably at internet scale. He has deep expertise in counter-abuse, spam and harm prevention, structured data repositories, and applied ML, and has held technical leadership roles across Google Search, Maps, YouTube Music and Google Workspace. Marco blends research pedigree—a PhD in Systems Engineering from UC Berkeley and early IoT4D research—with hands-on delivery of production systems that reduce real-world risk. Known for bridging product, policy and engineering, he scales teams and architectures to tackle adversarial problems where accuracy and latency matter. Based in Oakland, he is authorized to work across the US and EU and brings a practical researcher’s curiosity to building robust, defensible systems.
11 years of coding experience
24 years of employment as a software developer
PhD System Engineering, PhD System Engineering at University of California, Berkeley
Laurea (B.S. and M.S.) Computer Science, Laurea (B.S. and M.S.) Computer Science at Università Ca' Foscari Venezia
Certificate of Achievement Japanese, Certificate of Achievement Japanese at City College of San Francisco
English, Italian, Japanese