Senior Machine Learning Engineer

Austin, Texas, United States
Corporate Functions


Role Number:200541229
The people here at Apple don’t just build products — we craft the kind of wonder that’s revolutionized entire industries! 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, 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), media assets generation 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 Appleʼs customers every day. Inclusion is a shared responsibility and we work together to foster a culture where everyone belongs and is inspired to do their best work.


In this role, you will conceptualize, design, and develop core algorithms that power our buy- flows and personalize the experience across the Apple Online Store. This includes developing production algorithms for search, recommendations and personalization, running offline experiments and building online A/B tests to run in production systems. In addition, you will lead and architect end-2-end complex systems in the field of Big data, Semantic search, Content management and Scalable Services with cross-functional impact. You will provide mentorship and leadership within division and influence beyond your own project to bring innovation and state-of-the art solutions. To be successful, you need a strong machine learning background, proven software development skills, a love of learning, and to collaborate well in multi-disciplinary teams. You will need to exhibit strong communication and leadership skills, an ability to set priorities, and an execution focus in a multifaceted environment. The team responsibilities include: model development and deployment on-device and web, developing back-end data pipelines, and producing automation processes for machine learning tasks. You will closely collaborate with other engineering teams (including Hardware, QA, Infrastructure) to ensure the solutions are meeting the highest quality standards. Contributes to an inclusive environment through respecting each others’ differences and having the curiosity to learn. Demonstrates Apple’s values of inclusion and diversity in daily activities.

Minimum Qualifications

Key Qualifications

  • 6+ years related experience, including experience in machine learning
  • Experience in Recommendation Systems, Personalization, Search, Computational Advertising or Natural Language Processing
  • Strong programming skills in Java, C/C++, Python, or similar language Experience developing enterprise production machine learning models
  • Excellent problem solving and analytical skills
  • Strong communication and collaboration skills
  • Passion for delivering business impact
  • Experience with Spark, TensorFlow, Keras, and PyTorch a plus
  • Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plus
  • Skilled in communication, problem solving, strategic thinking.

Preferred Qualifications

Education & Experience

Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics, or equivalent professional experience.

Additional Requirements

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.