Sr. Applied AI Software Engineer- Vision Products Group & Siri

Apple builds products that are loved by people around the world—products that enrich lives by making powerful technology feel simple, intuitive, and accessible. Through deep integration of hardware, software, services, and design, we deliver end-to-end experiences that fit naturally into everyday life and work seamlessly across your devices and data. This is where ambitious ideas become real products, shipped at global scale and trusted by millions, and increasingly billions, of people. We’re building Apple Intelligence to be the most personalized and integrated intelligence on the planet. Apple is a company people trust with their most personal information—from everyday communication to photos, health, and fitness—enabling us to build highly contextual experiences with uncompromising privacy & security. We’re looking for software engineers to build experiences that harness cutting-edge technologies like AI, machine learning, and computer vision to solve difficult, high-impact problems at scale, in ways that feel effortless to our users. Our work sits at the intersection of AI, system software, and user experience, and aims to create features you’d genuinely want to use. This is a rare opportunity to get in on the ground floor of something that will redefine how millions of people interact with their devices, while upholding Apple’s core values of privacy, accessibility, and inclusion. In this role, you will work across the stack - from the system software and frameworks to end-user interfaces - to build Apple Intelligence features that enrich people’s lives. This is a highly cross-functional role working with design, algorithms, software, services, privacy, security, performance, and sometimes even HW / Silicon teams across Apple to engineer end-to-end solutions. You will need to work quickly and creatively to help demonstrate the viability of ideas and technologies while building robust, production-ready systems that millions of users will depend on. You will need to be comfortable writing Swift code, evaluating AI/ML algorithms for on-device integration, collaborating on user experience design, debugging complex cross-device interactions, and contributing to a culture of shipping high-quality production code. In addition to software engineering, you will also apply excellent UX intuition to identify and shape experience opportunities, iterate with design, and define technical requirements that drive development. Minimum Qualifications: BS / MS / PhD in Computer Science or equivalent experience 5 years in software development Excellent programming skills in an app programming language (preferably at least one of Swift, Objective-C, C ) and strong understanding of data structures, memory management, and concurrency Systems thinking, including ability to break down ambiguous problems and drive clarity on critical details Strong intuition for user experience ability to translate user needs into technical requirements Knowledge and/or experience with building experiences backed by LLM's or Computer Vision Solid cross-functional collaboration and technical communication skills Preferred Qualifications: Shipping user-facing features or products to production at scale Developing for iOS/MacOS and/or using Apple system frameworks like SwiftUI and ARKit Building & shipping features using LLMs and/or Machine Learning algorithms, including on-device inference, data-driven validation, requirement definition, and collaboration with algorithm teams Processing sensor data, (e.g. image/video, audio, motion), such as using computer vision / signal processing, working with vector transforms, and/or developing AR applications Developing & validating personalization features, including working with sensitive datasources such as conversation transcripts or Health data Developing under strict privacy and security constraints, including techniques like secure data processing, and/or privacy-by-design principles Developing system software or frameworks, including API definition and performance optimization (particularly for resource constrained or real-time systems)