Senior Machine Learning Engineer

Apple • Cupertino, CA

11d

About The Position

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 Senior 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 optimize Apple-wide systems & infrastructure. As a
member of the fast-paced team, you will have the outstanding and great
opportunity to work on new projects and craft upcoming products that will
delight and encourage millions of Appleʼs customers ever day.

DESCRIPTION

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

Requirements

• Bachelorʼs degree in Computer Science, Statistics, Mathematics with equivalent experience
• 5+ 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, critical thinking Attention to detail, data accuracy and quality of output

Nice To Haves

• PhD or Graduate degree with research/work experience using data science techniques (including but not limited to Computer Science, Statistics, Mathematics, etc)
• Experience in Recommender Systems, Personalization, Search, 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, TensorFlow, Keras, and PyTorch a plus

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees