Senior Machine Learning Engineer at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Apr, 26

Salary

0.0

Posted On

29 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Software Development, Collaboration, Data Processing, Big Data Technologies, Communication, Problem Solving, Critical Thinking, Attention to Detail, Data Accuracy, Generative AI, Recommender Systems, Natural Language Processing, Deep Learning, Reinforcement Learning, Distributed Systems

Industry

Computers and Electronics Manufacturing

Description

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. MINIMUM QUALIFICATIONS 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. PREFERRED QUALIFICATIONS 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

Responsibilities

The Senior Machine Learning Engineer will assist the Online Retail Decision Automation team in researching and developing algorithms for the Apple Online experience. This includes developing models for product search, recommendation systems, and personalization.