AI Software Engineer, Siri User Experiences

Join the team redefining what a deeply personal and integrated assistant can be. nnAs part of the Siri organization you will help shape one of the worlds most widely used AI assistants powered by our next-generation of Apple Intelligence with capabilities like personal context understanding and on-screen awareness built with privacy from the ground up. Your work will have direct meaningful impact for users across iOS iPadOS macOS watchOS and is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design shipping technology that is centered around users and their you have a passion for building software that enables intelligent experiences on device We are engineers scientists and problem solvers working to bring smarter faster and more natural interactions to Siri. We are looking for an enthusiastic Software Engineer to join our team and help shape the future of Apple Intelligence and Siri experiences.

In this role you will contribute to developing the on-device software platform that powers Siri and Apple Intelligence experiences across the OS. You will work closely with experienced engineers to build scalable high-quality software and learn how intelligent features are developed and delivered to millions of users.

Contribute to the development and implementation of software features that support Siri and Apple Intelligence clean maintainable and efficient code with a focus on quality and with cross-functional teams to design build test and ship new and resolve software issues bugs and performance and apply software engineering best practices including testing debugging and code software that interfaces with AI-powered systems and on-device intelligence modern developer tools including AI-assisted coding tools to improve productivity and code quality.

BS MS or equivalent experience in Computer Science Computer Engineering or a related programming in Swift Objective-C C Java Python or similar languages through coursework internships research or personal of core computer science fundamentals including data structures algorithms and object-oriented with software development practices such as debugging testing and version problem-solving communication and collaboration for learning new technologies and building products used by millions of customers.

nternship research academic or personal project experience building software applications or with operating systems concepts concurrency and performance to machine learning generative AI Large Language Models (LLMs) or AI-assisted development developing mobile systems or platform in building high-performance software for resource-constrained environments.