Summary
Ben Weber is a vice president-level machine learning leader with 15 years of experience building production ML and data platforms across gaming and ad tech, currently leading ML at RZR after senior roles at Zynga, Frameplay, and McAfee. He combines hands-on model development—migrating DSP pricing from logistic regression to deep learning—with running teams and designing ML ops at scale using Databricks, lakehouse architectures, Unity Catalog, and MLflow. His career began in game analytics and research (PhD work on AI for StarCraft), which informs a practical emphasis on experimental design, user-level LTV, and feature engineering for large-scale systems. A published author (Data Science in Production) and regular speaker at industry conferences, he’s equally comfortable in technical due diligence for acquisitions and in integrating programmatic ad systems and identifiers. Ben is based in Oakland and brings a rare blend of academic rigor, product-focused applied research, and operational expertise shipping ML in production.
15 years of coding experience
14 years of employment as a software developer
California Polytechnic State University, San Luis Obispo
University of California Santa Cruz