Senior Systems Engineer Special Projects

Apple is where individual imaginations gather together to do great work. Every new product we build service we create or Apple Store experience we deliver is the result of us making each others ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in we can do the best work of our lives. Wed love to work with you.

This team nurtures state-of-the-art intelligence ideas into powerful usable features and systems. We work with the latest AI research and our talented research teams to build innovative implementations of those ideas on Apple platforms. We discuss debate and iterate to quickly find out what works what doesnt and what will make of the most magical user experience. Were a small nimble team with varied skills thats collaborates to make the best products

Research discuss and debate the latest in intelligence capabilities across the industry and the ways those capabilities could form the foundation of future Apple features and products. Including which ones are not a good with ML research teams to build implementations of cutting edge research on Apple platforms. nIntegrate LLMs into existing systems to provide seamless intelligence-powered features and capabilitiesnCreate robust scalable architectures for systems that handle data orchestration for AI featuresnBe able to quickly build an idea so you and the team can work with hands-on products. Then iterate on the best of those tools that help make complex AI systems observable understandable and debuggable

5 years of proven experience in software development. Ideally on Apple proficiency in Swift and/or Objective-CnDeep experience with tools frameworks and design patterns common used on Apple platforms

Proficiency JavaScript and PythonnExperience with or a strong understanding of Generative AI LLMs Agentic Systems or RAG (Retrieval-Augmented Generation) workflowsnExperience integrating LLMs into existing systemsnExperience with API design both for other engineers to use but also for AI systems.