The Apple Store Online team is seeking a passionate and motivated Machine Learning Engineer to enhance the digital shopping experience for customers. This role focuses on developing algorithms for product search, recommendation systems, and personalization, utilizing cutting-edge technologies. The engineer will collaborate with cross-functional teams to implement machine learning algorithms and testing workflows. This position offers the opportunity to work on innovative projects that impact millions of customers daily.

• 4+ years of related experience building high throughput scalable applications or machine learning models.
• Proficiency in one or more object-oriented programming languages such as Python, Java, or C++.
• Experience building data processing pipelines and large scale machine learning systems with big data technologies like Spark, SQL, or Snowflake.
• PhD or Graduate degree with research/work experience utilizing data science techniques, or Bachelor's degree with equivalent experience.
• Experience in Search, Recommender Systems, Personalization, or Natural Language Processing.

• Assist the Online Retail Decision Automation team in researching and developing algorithms.
• Develop models for product search, recommendation systems, and personalization.
• Collaborate with researchers, engineers, data scientists, and product managers.
• Implement machine learning algorithms and testing workflows.
• Contribute to new projects and craft products that enhance customer experience.

• 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.