Manager, Machine Learning, Apple Store Online

Imagine what you could do here! The people here at Apple dont just create products they build the kind of wonder thats revolutionized entire industries. Its 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. At Apple inclusion is a shared responsibility and we work together to foster a culture where everyone belongs and is inspired to do their best on the Apple Store Online team we are responsible for Apples largest store. Our main goal is to deliver a magical personal digital experience where customers can shop buy and learn everything Apple wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store it takes extraordinary people and we are looking for someone to help us do extraordinary are looking for a passionate highly motivated and hands-on applied Machine Learning Engineering leader. You will lead the way on our Online Retail Decision Automation team by researching and developing the next generation of algorithms used to drive the Apple Online experience! This role spans central areas of our Apple Online Store including developing models for product search recommendation systems (e.g. ranking page generation) personalization (e.g. evidence messaging marketing) Generative AI and optimizing Apple-wide systems u0026 infrastructure. As a leader of the fast-paced team you will have the outstanding and great opportunity to be part of a new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers every day.

To be successful you need a strong machine learning background proven software development skills a love of learning and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills an ability to set priorities and an execution focus in a multifaceted environment.

Attract hire and inspire a diverse world-class engineering team fostering a culture of innovation collaboration and excellencenEnable the engineers in the team to grow their careers by providing the right opportunities along with clear and timely team of machine learning engineers and collaborate with x-functional teams overseeing the entire development lifecycle from design implementation to operationalize robust scalable and efficient machine learning solutionsnStay up-to-date with emerging technologies industry trends and advancements in ML practices to identify opportunities for improvement and innovation and effectively communicate with stakeholders providing regular updates on project status progress and any potential risks or challenges.

5 years related experience in enterprise applications with 2 years of managing large engineering teams nYou can actively participate in investigations into realtime and offline analysis and draw conclusions from data recommend leadership skills with a demonstrated ability to build and manage high-performing engineering teams. nExperience enabling large-scale high throughput and distributed customer facing applications

Ph.D. or Masters in a quantitative field such as Computer Science Applied Mathematics or Statistics or equivalent professional experiencenExperience in Recommender Systems Personalization Search Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecturenExperience with building data processing pipelines large scale machine learning systems and big data technologies (eg: Spark SQL Snowflake/Hadoop etc)nProficiency in one or more object-oriented programming languages such as Python Java C and experience building highly scalable distributed systems