Machine Learning Engineer, Search and Shopping Ads

Job description

Lead the technical architecture, delivery, and cross-team strategy for Search and Shopping Ads predicted click-through rate (pCTR) models in close partnership with DeepMind, Research, and Ads Machine Learning teams. Design, prototype, and scale high-capacity pCTR architectures that maximize modern Tensor Processing Unit (TPU) capabilities while operating within strict low-latency serving and return-on-investment budgets. Develop modeling solutions to capture deep user history and nuanced attention signals, seamlessly integrating ads into emerging artificial intelligence Search experiences, including AI Overviews and AI Mode. Engineer mathematical loss functions and calibration methods, translating complex business objectives into top-line metric and auction improvements. Build agentic machine learning workflows to automate and accelerate optimal model architecture and feature space discovery.