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Apple in Santa Clara, CA is seeking an experienced software engineer who can work broadly across the stack, with deep iOS/macOS knowledge and a track record of delivering production-grade features. You will collaborate with ML engineers to integrate AI capabilities into user experiences, champion security and privacy, and own components from UI to services.
The role requires hands-on coding, strong opinions, and the ability to ship on time in a fast-paced, cross-functional environment.
The Applied Intelligence team, part of AI, Search & Knowledge Platforms, builds applications that bring intelligent capabilities to people through Siri, search, and new surfaces that haven't shipped yet. We work across the full stack, from native apps and prototyping tools to server integrations, with teams across Apple. There is a huge opportunity in bringing intelligent capabilities to personal data in a way that is secure, private, and only possible in the Apple ecosystem.
We are looking for an experienced software engineer who can work broadly across the stack and adapt as priorities shift. Ideally you have deep technical understanding of iOS or macOS, experience building systems that use the full capabilities of the platform, and the ability to integrate machine learning and AI technologies into production experiences. A strong understanding of modern AI systems and the ability to collaborate closely with ML engineers will be critical. Having strong technical opinions, a bias toward experimentation, and the focus to deliver on time are key to being successful here.
6+ years of experience building software solutions (frameworks, UI, services) for iOS or macOSTrack record of working cross functionally with engineers, designers, and ML engineers to ship productsDemonstrated ability to work across the full stack (UI, application logic, networking/services)BS or MS in Computer Science, Software Engineering, or equivalent practical experience
Strong product focus and ability to advocate for the end user experienceDeep understanding of and strong opinions on software qualityComfortable taking ownership and driving quality end to endExperience building software that makes full use of platform capabilitiesFamiliarity with search technologies, information retrieval, or knowledge systemsFamiliarity with ML concepts or experience integrating ML models into applications