About The Position

The Apple Store Online team is responsible for Apple’s largest store, with the main goal 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. We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineering leader to join our Online Retail Decision Automation team. You will research and develop 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 & infrastructure. As a leader of the fast-paced team, you will have the opportunity to be part of new projects and craft upcoming products that will delight and encourage millions of Appleʼs customers every day.

Requirements

  • 5+ years related experience in enterprise applications with 2+ years of managing large engineering teams.
  • Strong machine learning background.
  • Proven software development skills.
  • Ability to collaborate well in multi-disciplinary teams.
  • Strong communication and leadership skills.
  • Ability to set priorities.
  • Execution focus in a multifaceted environment.
  • Experience enabling large-scale, high throughput and distributed customer facing applications.

Nice To Haves

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

Responsibilities

  • Researching and developing the next generation of algorithms used to drive the Apple Online experience.
  • 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 & infrastructure.
  • Actively participate in investigations into realtime and offline analysis, and draw conclusions from data, recommend actions.
  • Build and manage high-performing engineering teams.
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