Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the ML Data Team of the Intelligent System Experience (ISE) group at Apple. We are responsible for building high quality datasets at scale. Every year, our team produces datasets used in the training of ML and AI-centric features for many Apple products, including iPhone, iPad, Mac, Apple Watch and even AirPods. Our work is used in very visible and critical features, from the wallpaper on your iPhone Lock Screen, to your personalized stickers on iMessage, to Apple Intelligence features such as on-device Genmoji and other visual generative models, to the models that highlight the faces and memories of your loved ones in your Photos app. We’re looking for an exceptional software & data engineer who is passionate about Apple products and values; who has a passion for data, is comfortable in a fast pace environment and who is committed to the hard work necessary to continuously improve our ML data pipelines. We invite you to join us at this exciting time. Grow fast and positively impact multiple critical features from your first day at Apple!

Our team works in close interaction with ML applied research teams, infrastructure and client teams, as well as with other groups and other functions across Apple (legal, privacy) and externally. This position focuses on designing and implementing flexible data pipelines and data tools based on advanced computer vision technology, NLP and humans in the loop. Responsibilities may include: * design consistent and robust data models * design and implement data pipelines to process data at scale (up to the Petabyte scale!) * find creative ways to automate data flows, or build self service tooling that enable PMs to iterate faster * production-ize synthetic data workflows * preprocess, transform and clean data in multiple domains (tabular, image, video, text, etc...) and at scale * interact with ML models to optimize human-in-the-loop workflows * support the day-to-day operations of the data team