The people here at Apple don’t just build products— they craft the kind of wonder that has revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Imagine what you could do here. Join Apple, and help us leave the world better than we found it. A job at Apple is unlike any other you’ve had, You will be inspired, challenged and proud. At Apple, great 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. We are looking to hire extraordinary individuals with strong communication and interpersonal skills and ability to work effectively across multiple business and technical teams. You will build groundbreaking software service, one that is continually innovating and is proud of making a difference. You should be a self starter, motivated, with exceptional interpersonal skills as well as a positive and flexible approach to problems. The applicant should have the ability to thrive in a fast-paced, tight deadline delivery timeline. As a part of this dynamic team, the applicant will help us build the Apple experience on a global scale. Applied Machine Learning provides a platform for low latency, high throughput real time fraud decisioning system and various ML solutions and services. This blog https://www.apple.com/newsroom/2023/05/app-store-stopped-more-than-2-billion-in-fraudulent-transactions-in-2022/ (https://www.apple.com/newsroom/2023/05/app-store-stopped-more-than-2-billion-in-fraudulent-transactions-in-2022/) is one such example of enabling our AppStore team in fraud avoidance. This opening is with Data Platform SRE (Site Reliability Engineering) SWE(Software Engineering) team. This team owns and manages large scale distributed hybrid Data Platform through various tools, frameworks and operations through code. Few examples of DataPlatform Stack - Apache Spark, Flink, Jupyter Notebook, Iceberg, Trino, Datahub, Kubernetes etc.