The Senior Machine Learning Engineer will join the Apple Store Online team to enhance the digital shopping experience for customers. This role focuses on researching and developing algorithms for product search, recommendation systems, and personalization. The engineer will collaborate with multi-functional teams to implement machine learning algorithms and testing workflows. The position requires a strong machine learning background and proven software development skills.

• Bachelor's degree in Computer Science, Statistics, Mathematics, or equivalent experience.
• 5+ 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 using data science techniques.
• Experience in Recommender Systems, Personalization, Search, or Natural Language Processing.

• Research and develop algorithms to enhance the Apple Online experience.
• Collaborate with researchers, engineers, data scientists, and product managers.
• Develop models for product search and recommendation systems.
• Implement machine learning algorithms and testing workflows.
• 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.