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Machine Learning Engineer, Apple Store OnlineApple • Cupertino, California, United States
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Machine Learning Engineer, Apple Store Online

Apple
  • US
    Cupertino, California, United States
  • US
    Cupertino, California, United States
Jetzt Bewerben

Über

Machine Learning Engineer, Apple Store Online Cupertino, California, United States Corporate Functions
Imagine what you could do here! The people here at Apple don’t just create products — they build the kind of wonder that’s 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. 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 work. Here on the Apple Store Online team, we are responsible for Apple’s 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 things.
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 opportunity to be part of new projects and craft upcoming products that will delight and encourage millions of Apple customers every day.
Description To be successful, you need a strong machine learning background, proven software development skills, a love of learning, and ability to collaborate with cross‑functional teams, including researchers, engineers, data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You’ll mentor other MLEs and lead an effort to build scalable end‑to‑end machine learning solutions for our retail customers.
Responsibilities
Collaborate with other MLEs to build scalable, production‑ready ML solutions, taking algorithms from initial concept through to deployment.
Contribute to the ongoing improvement of our ML infrastructure and tooling.
Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering.
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 (e.g. Spark, SQL, Snowflake/Hadoop, etc).
Bachelor’s in a quantitative field, such as Computer Science, Applied Mathematics, Statistics, or a Bachelor’s degree in quantitative field with a focus on AI 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.
Compensation and Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. In addition, you’ll receive benefits including comprehensive medical and dental coverage, retirement benefits, discounted products and services, and reimbursement for certain educational expenses—including tuition. This role might also be eligible for discretionary bonuses or commission payments and relocation assistance. Learn more about Apple benefits.
Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Equal Opportunity Apple is an equal‑opportunity employer 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. Learn more about your EEO rights as an applicant.
Accessibility At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple’s workplace.
Application Process Apple accepts applications to this posting on an ongoing basis.
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  • Cupertino, California, United States

Sprachkenntnisse

  • English
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