The role is for a passionate and highly motivated Machine Learning Engineer on the Apple Store Online team, focusing on developing algorithms to enhance the online shopping experience. This position involves working on product search, recommendation systems, and personalization, among other areas. The team aims to deliver a magical digital experience for customers, ensuring they feel valued. The engineer will collaborate with various teams and mentor other MLEs while building scalable machine learning solutions.

• Strong machine learning background and proven software development skills.
• Proficiency in one or more object-oriented programming languages such as Python, Java, or C++.
• Hands-on experience with building data processing pipelines and large scale machine learning systems.
• Bachelor's degree in a quantitative field such as Computer Science, Applied Mathematics, or Statistics.
• Understanding of the machine learning model lifecycle from prototyping to deployment.

• Research and develop algorithms for the Apple Online experience.
• Collaborate with cross-functional teams including researchers, engineers, and product managers.
• Mentor other Machine Learning Engineers.
• Build scalable end-to-end machine learning solutions for retail customers.
• Work on projects involving Generative AI and optimizing Apple-wide systems.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.