Staff Machine Learning Engineer, Ads Forecasting & Scenarios
Core
Build machine learning models to forecast campaign outcomes, estimate advertiser investment tradeoffs, and simulate marketplace scenarios for better ad spend decisions.
Role type
Staff Machine Learning Engineer (Ads Forecasting & Scenarios)
Builds
Production ML systems for supply/demand forecasting, audience response prediction, and marketplace simulation.
Domain
Advertising, Marketplaces, Demand Forecasting
Deliverable
production ML models
Required skills
predictive ML systems, statistical learning, probability, optimization, probabilistic/hierarchical forecasting, multitask/transfer learning, delayed-feedback modeling, production ML engineering, technical leadership
Preferred skills
auction simulation, counterfactual/off-policy evaluation, reach/audience estimation, mixture-of-experts, state-space models
Technologies
probabilistic time-series models, hierarchical/global forecasting, external-signal modeling, multi-horizon prediction, constrained optimization, sampling correction
Responsibilities
Lead forecasting and scenario modeling for delivery, reach, and performance; Connect inventory, demand, and response forecasts; Estimate outcomes under alternative budget/bid/audience choices; Quantify unrealized opportunity via creative-performance estimates; Build models handling sparse segments and cold start; Establish trustworthy comparisons via calibration and uncertainty analysis; Close the learning loop by validating predictions against outcomes; Own production delivery and mentor engineers.
Seniority
Staff, hands-on technical leadership
