Machine Learning Engineer – Ads Predictions

Apple Ads is seeking a skilled Machine Learning Engineer for its Predictions group to develop core machine learning models for ad predictions and monetization across Apple's App Store and News platforms. This role requires expertise in machine learning, information retrieval, and large-scale modeling within a privacy-first environment. You will work on applied ML, deep learning, and retrieval systems, focusing on predicting user interactions, optimizing marketplace outcomes, and scaling across billions of queries. The position involves exploring and operationalizing emerging techniques like Large Language Models (LLMs) and Reinforcement Learning to enhance Apple's ad prediction systems. Key responsibilities include designing and implementing ML models for user interaction, click-through rate (CTR), and conversion rate (CVR) prediction, developing retrieval algorithms, contributing to core modeling areas, working with large-scale datasets, and collaborating with cross-functional teams. Experience with large-scale experiments to validate model architectures is also expected.