The Apple Services Engineering team is one of the most exciting examples of Apple’s passion for combining art and technology. These are the people who power the Apple Music, App Store, Apple TV, Apple Fitness+, Apple Podcasts, and Apple Books and more. And they do it on a massive scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 37 languages to more than 175 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services.

We’re on the lookout for an accomplished engineer with a deep passion for AI/ML to orchestrate our mission of crafting mind-blowing canonical knowledge graph in Apple’s Music, Books, and Podcasts domains.

You’ll be joining a dynamic team that models diverse data sources, maps, clusters and canonicalizes them together into a symphony of enriched metadata knowledge graphs. This team isn’t just about data; we are about transforming information into a powerhouse source of truth for Music, Books, and Podcasts metadata at Apple!

As a lead-level AI/ML Engineer, you will drive the development, implementation, and scaling of machine learning models, AI systems, and data-driven products. In this role, you’ll be the guiding force behind our knowledge graph team, working closely with multi-functional geo-distributed teams—data science, engineering, product, operations, and business—to innovate and tackle sophisticated challenges using cutting-edge AI technologies. You’ll also mentor AI/ML engineers, champion strategic AI initiatives, and contribute to the organization’s vision and roadmap for AI innovation.

Ready to make history? Join our team!

10+ years of experience in AI/ML, with at least 2+ years in a technical lead role.Proven track record of leading successful AI/ML projects from conception to deployment.Expertise in key areas such as deep learning, NLP, computer vision, reinforcement learning.Expertise in state-of-the-art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).Experience working with a variety of AI/ML frameworks, tools, and programming languages (e.g., TensorFlow, PyTorch, Python, R, etc.).Experience with relevant programming languages, such as Python, Java, Scala, or Go.Ability to work collaboratively cross-functionally beyond team boundaries and influence senior leaders.Excellent communication skills, both written and verbal.