Working knowledge of ad-serving and campaign concepts - how campaigns are delivered and what creates delivery risk: targeting, frequency caps, contention, bidding, pacing, budget planning, and the core campaign objects/attributes; and the metrics that matter (reach, frequency, impressions, clicks, outcomes). You will build the machine learning models that augment our simulation-based engine for predicting campaign delivery - turning a slow, rules-based simulation into fast, accurate, learnable models of how campaigns deliver against real inventory.