The role is for a passionate and highly motivated applied Machine Learning Engineer on the Apple Store Online team. This team is responsible for delivering a magical digital shopping experience for customers. The focus is on researching and developing algorithms for product search, recommendation systems, and personalization. The engineer will collaborate with cross-functional teams and mentor other machine learning engineers to build scalable 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 continuous improvements.

• Lead the development of algorithms for the Apple Online experience.
• Collaborate with researchers, engineers, data scientists, and product managers.
• Mentor other machine learning engineers.
• Build scalable end-to-end machine learning solutions for retail customers.
• Optimize Apple-wide systems and infrastructure.

• 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.