Apple is seeking a high-energy, self-driven machine learning engineer to join the News, Books, and Stocks team in Cupertino, California. The successful candidate will be responsible for delivering scalable ML services and applying machine learning to challenging problems across the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and more. As a member of a dynamic group, you will contribute to products that delight millions of Apple’s customers daily. Minimum qualifications include a Master’s in Machine Learning, Computer Science, or a related field, or equivalent industry experience; strong programming skills in Python, Java, or related languages; experience with deep learning toolkits such as PyTorch or TensorFlow; and the ability to collaborate with partner teams while promoting an open and inclusive work environment. Preferred qualifications include a PhD in Machine Learning or related field, 2+ years of experience shipping ML models in products, experience with recommender systems, text-centric AI/ML (LLMs, document classification, search), delivering high-quality software at scale, and designing user-facing ML features with interdisciplinary partners.

Apple is seeking a high-energy, self-driven machine learning engineer to join the News, Books, and Stocks team in Cupertino, California. The successful candidate will be responsible for delivering scalable ML services and applying machine learning to challenging problems across the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and more. As a member of a dynamic group, you will contribute to products that delight millions of Apple’s customers daily. Minimum qualifications include a Master’s in Machine Learning, Computer Science, or a related field, or equivalent industry experience; strong programming skills in Python, Java, or related languages; experience with deep learning toolkits such as PyTorch or TensorFlow; and the ability to collaborate with partner teams while promoting an open and inclusive work environment. Preferred qualifications include a PhD in Machine Learning or related field, 2+ years of experience shipping ML models in products, experience with recommender systems, text-centric AI/ML (LLMs, document classification, search), delivering high-quality software at scale, and designing user-facing ML features with interdisciplinary partners.