Senior Full Stack 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.

The Special Projects 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 applications of those ideas on Apple platforms. A key part of the team success incoludes building high quality infrastructure and tooling for ML inference and evaluation.. These systems and infrastructure use both internal and external technologies to help the team move quickly.

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 or modify existing backend infrastructure using containers and cloud-native closely with other teams to design build and own evaluation Python and Apple-native tooling and systems to support the robust scalable architectures for systems that handle data orchestration for AI featuresnBuild tools that help make complex AI systems observable understandable and debuggable

Proficiency in at least one modern language like Go TypeScript Swift or with PythonnExperience with VM u0026 Container technologies (Docker Kubernetes etc.)(nExperience building web services and full stack web applicationsnExperience with Continuous Integration / Continuous Delivery systems nCollaboration skills and experience working both with small teams and across multiple teams

Experience bringing AI systems from research to productionnExperience building large-scale ML evaluation systems with any technical stacknExperience with Swift and writing Swift applications on client and servernExperience writing code to network and connect and synchronize multiple devices under test