About The Position

Are you excited about building the data infrastructure that powers innovative generative AI experiences for millions of users daily? Do you thrive in collaborative environments and enjoy applying engineering rigor to large-scale, privacy-conscious systems? If so, we'd love to hear from you. We're looking for a Senior Software Engineer to join the Apple Intelligence Data Platform team. This team powers key intelligence features across Apple's ecosystem, including Siri Suggestions, the Shortcuts app, Personalization and more, by building scalable, privacy-conscious data and ML platforms. Our team is responsible for the research, development, and deployment of the core platform that powers Apple Intelligence on device and on private compute cloud. Our work underpins several Apple Intelligence features we've shipped to our customers, including Writing Tools, Travel Notifications, system wide search, Siri, and more. Anticipatory, context-aware experiences are central to Apple Intelligence. We're building a contextual, on-device platform that anticipates user intent and adapts to context across the day. This is your opportunity to help shape the next generation of personal, privacy-preserving intelligence for millions of users. https://www.apple.com/apple-intelligence/

Requirements

  • 5+ years of increasing responsibility and relevant software engineering experience
  • Bachelor's Degree or higher in Computer Science or a related field
  • Hands-on experience designing, building, and operating large-scale data pipelines or distributed systems in production
  • Excellent software design, problem solving, critical thinking, and collaborative skills, including written and verbal communication
  • Proficiency in one or more of the following languages: Python, Go, Java, C++, or Swift
  • Ability to understand and clarify product requirements and translate them into well-scoped engineering deliverables

Nice To Haves

  • MS in Computer Science or a related field
  • Experience with on-device platforms, privacy-preserving systems, or distributed multi-device infrastructure
  • Familiarity with modern ML systems (LLMs, RAG, vector retrieval, knowledge graphs) and how they integrate into production platforms
  • Track record of independently driving end-to-end architecture and delivery across cross-functional teams
  • Strong intuition for performance, reliability, and cost trade-offs at Apple scale or comparable

Responsibilities

  • Design, build, and operate the data pipelines and platform infrastructure that power on-device intelligence and Personalization at Apple scale.
  • Own the systems that ingest, process, and deliver signals across the platforms enabling context-aware, proactive, and personalized experiences that directly shape how users interact with Apple products.
  • Collaborate closely with engineering teams across Apple including Accessibility, Hardware, Human Interface, NLP, and Privacy to land Apple Intelligence features in our customers' hands.
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