The Senior Machine Learning Engineer will join the Apple Store Online team, focusing on enhancing the digital shopping experience for customers. This role involves researching and developing advanced algorithms for product search, recommendation systems, and personalization. The engineer will work collaboratively with multi-functional teams to implement machine learning algorithms and testing workflows. The position offers the opportunity to contribute to innovative projects that impact millions of Apple customers.

• 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.
• Experience with big data technologies like Spark, SQL, Snowflake, or Hadoop.
• PhD or Graduate degree with research/work experience using data science techniques.
• Experience in Recommender Systems, Personalization, Search, or Natural Language Processing.
• Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning is a plus.

• Assist the Online Retail Decision Automation team in developing algorithms for the Apple Online experience.
• Develop models for product search and recommendation systems.
• Collaborate with researchers, engineers, data scientists, and product managers.
• Implement machine learning algorithms and testing workflows.
• Work on new projects and craft upcoming products to 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.