Staff Machine Learning Engineer
Core
Build machine learning capabilities to help advertisers estimate campaign outcomes, compare alternatives, and make better investment decisions through forecasting and scenario modeling.
Role type
Staff Machine Learning Engineer (Advertising/Marketplace)
Builds
Production ML systems for supply and demand forecasting, audience availability, response prediction, and marketplace simulation.
Domain
Advertising technology and marketplace economics
Deliverable
production ML models
Required skills
predictive ML systems development, statistical learning, probability, optimization, probabilistic/hierarchical forecasting, calibrated conversion/value prediction, multitask/transfer learning, delayed-feedback/survival modeling, response modeling, software engineering for production ML, technical leadership, ambiguous initiative management
Preferred skills
demand/supply/inventory forecasting, auction/investment modeling, scenario evaluation (counterfactual/off-policy), reach/audience estimation, advanced predictive methods (mixture-of-experts, state-space models)
Responsibilities
Lead forecasting and scenario modeling for delivery, reach, and performance; set technical direction and guide execution; connect inventory, demand, and response forecasts; estimate outcomes under alternative choices; build models that generalize to handle sparse segments and cold start; evaluate numerical accuracy and calibration; close the learning loop by comparing predictions with outcomes; own production delivery and partner with engineers on training and serving; mentor engineers and collaborate with Product, Data Science, and Ads Delivery teams.
Seniority
Staff, hands-on technical leadership with mentorship
