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# Machine Learning Engineer, Apple Store Online

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Big Data, C++ (Programming Language), Apache Hadoop, Python (Programming Language), Machine Learning, Natural Language Processing, Object-Oriented Software Development, Recommender Systems, Tensorflow, Software Engineering, SQL Databases, Reinforcement Learning, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Snowflake, Apache Spark, Deep Learning, Generative AI, Keras, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** October 11, 2026
- **Apply:** https://www.juju.com/job/1_apple2-200665562

## About the Role

You'll mentor other MLE's and lead an effort to build scalable end-to-end machine learning solutions for our retail customers **Minimum Qualifications** + Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building highly scalable distributed systems + Hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (eg: Spark, SQL, Snowflake/Hadoop, etc) + Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, Statistics, or Bachelors degree in quantitative field with a focus on AI in coursework **Preferred Qualifications** + Understanding of machine learning model lifecycle from prototyping, feature engineering, training, inference, deployment, monitoring and continuous improvements via deep analysis) + Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including
RAG based Generative AI and transformer architecture + Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus + Experience with Spark, TensorFlow, Keras, and PyTorch a plus + Skilled in communication, problem solving, strategic thinking Apple is an equal opportunity employer that is committed to inclusion and diversity.
We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

## Description

We 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 & 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 Apple's customers every day. **Description** 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.