Job Description
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and great privacy to our users. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state of the art privacy-preserving measurement and machine learning. Join us and help build amazing products while our commitment to privacy. Description In this role you will work with engineers and scientists across many Apple products to bring their machine learning investigations onto our platform for privacy-preserving machine learning. You will partner with them to understand the goals of each feature and the data required to improve the experience, then design the systems that turn those investigations into production capabilities. The results of this work will be better features deployed to billions of devices, all while protecting the privacy of every person using them. Responsibilities: Design, build, and operate the platform that supports privacy-preserving ML training and evaluation, including private federated learning systems that run across millions of user devices. Scale distributed training and evaluation infrastructure to support a growing portfolio of teams and products across Apple. Partner with applied scientists to take novel privacy-preserving algorithms from research prototype to production-grade systems. Collaborate with product teams across Apple who depend on the platform, helping them adopt it and meet Apple's industry-leading privacy bar. Successful candidates will need a strong technical background and the ability to work effectively across a wide range of technologies - from device runtimes to large-scale distributed backends. Adaptability to new problems and systems is a core skill, as is the technical breadth to reason about a sy
