Machine Learning Engineer, 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 Engineer. 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 member 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 with cross-functional teams including researchers engineers data scientists/analysts and product managers to develop and implement machine learning algorithms. Youll mentor other MLEs and lead an effort to build scalable end-to-end machine learning solutions for our retail customers

Collaborate with other MLEs to build scalable production-ready ML solutions taking algorithms from initial concept through to deployment nContribute to the ongoing improvement of our ML infrastructure and toolingnEngage in continuous learning and development staying up-to-date with the latest advances in machine learning and software engineering

Proficiency in one or more object-oriented programming languages such as Python Java C and experience building highly scalable distributed systemsnHands-on experience with building data processing pipelines large scale machine learning systems and big data technologies (eg: Spark SQL Snowflake/Hadoop etc)nBachelors in a quantitative field such as Computer Science Applied Mathematics Statistics or Bachelors degree in quantitative field with a focus on AI in coursework

Understanding of machine learning model lifecycle from prototyping feature engineering training inference deployment monitoring and continuous improvements via deep analysis)nExperience in Recommender Systems Personalization Search Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architecturenExperience using Deep Learning Bandits Probabilistic Graphical Models or Reinforcement Learning in real applications a plusnExperience with Spark TensorFlow Keras and PyTorch a plusnSkilled in communication problem solving strategic thinking