Machine Learning Engineer

Summary

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 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 we are their 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. This role will assist our Online Retail Decision Automation team by helping to research and develop the next generation of algorithms used to drive the Apple Online experience. The 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 and infrastructure.

As a member of the fast‑paced team, you will have the outstanding opportunity to be part of new projects and craft upcoming products that will delight and encourage millions of Apple’s customers every day.

To be successful, candidates will need a machine learning background, proven software development skills, and a love of learning. They will also need to be able to collaborate with cross‑functional teams, including researchers, engineers, data scientists/analysts, and product managers, to help develop and implement machine learning algorithms and testing workflows.

• 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.

• 4+ years of related experience building high throughput scalable applications or building machine learning models.
• Proficiency in one or more object‑oriented programming languages such as Python, Java, C++ and experience building distributed systems.
• Experience building data processing pipelines and large‑scale machine learning systems with experience in big data technologies like Spark, SQL, Snowflake/Hadoop, etc.
• Skilled in communication, problem solving, strategic thinking.
• Attention to detail, data accuracy and quality of output.

• PhD or graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or bachelor’s degree with equivalent experience.
• Experience in Search, Recommender Systems, Personalization, Computational Advertising or Natural Language Processing including RAG‑based Generative AI and transformer architecture.
• Skilled in communication, problem solving, critical thinking.
• Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus.
• Experience with Spark, Tensor Flow, Keras, and PyTorch a plus.

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 $132,100 and $244,600, and your base pay will depend on your skills, qualifications, experience, and location.

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