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Salary: USD 153,700 - 230,500 / annual
Apple News and Apple Books are seeking a Senior Machine Learning Engineer to join their distributed team focused on quality content curation, user privacy, and intelligent machine learning applications. This role sits at the intersection of technology and content, tackling complex ML problems across news, books, and stocks domains.
You will design and implement state-of-the-art AI/ML systems that process large-scale content data to power recommendations, advanced search, ranking, and next-generation AI features. Core responsibilities include developing datasets, designing model architectures, and training/fine-tuning models using modern deep learning frameworks. You'll drive end-to-end machine learning features from concept through production delivery, partnering with cross-functional teams including product, design, and backend engineers.
The role includes mentoring junior engineers and contributing to Apple's thriving ML community. You'll work on challenging problems in text extraction, named entity recognition, duplicate detection, and search ranking—all serving millions of daily users.
Minimum qualifications: MS in Machine Learning, Computer Science, or equivalent industry experience; at least 2 years shipping ML models in production; strong Python/Java programming and deep learning toolkit proficiency (PyTorch, TensorFlow, etc.); excellent cross-team collaboration skills.
Preferred: PhD in ML/CS; 5+ years production ML experience; recommender systems expertise; text-centric AI/ML experience (LLMs, document classification); high-scale software delivery; user-facing ML feature design with interdisciplinary partners.
The team is known for strong retention, a culture of respect, and enabling engineers to do their best work. You'll have rare access to products used by millions and the opportunity to shape the future of content discovery and AI-powered features.
