Sr Software Engineer Applied Intelligence

The Applied Intelligence team part of AI Search u0026 Knowledge Platforms builds applications that bring intelligent capabilities to people through Siri search and new surfaces that havent 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.

Build native applications and systems that use the full power of iOS and macOS to deliver Apples knowledge and information experiencesnPrototype frameworks and UI to rapidly try out new concepts across search and new product surfacesnCollaborate cross functionally with teams across Apple (iCloud search and others) to integrate capabilities end to endnWork alongside ML engineers to bring intelligent features into shipping productsnStay connected with the rapidly changing AI landscape and bring relevant ideas back to the team

5 years of experience building software solutions (frameworks UI services) for iOS or macOSnTrack record of working cross functionally with engineers designers and ML engineers to ship productsnDemonstrated ability to work across the full stack (UI application logic networking/services)nBS or MS in Computer Science Software Engineering or equivalent practical experience

Strong product focus and ability to advocate for the end user experiencenDeep understanding of and strong opinions on software qualitynComfortable taking ownership and driving quality end to endnExperience building software that makes full use of platform capabilitiesnFamiliarity with search technologies information retrieval or knowledge systemsnFamiliarity with ML concepts or experience integrating ML models into applications