This role at Apple involves building rich user interfaces and sophisticated backend systems to enhance customer experiences. The position focuses on developing large-scale infrastructure and data processing platforms that support Apple's diverse range of products. The team is responsible for ensuring data consistency, optimizing performance, and integrating cloud infrastructure components. Candidates will work closely with software developers and data engineers to implement advanced algorithms and machine learning models.

• Master's degree or foreign equivalent in Artificial Intelligence and Innovation, Computer Science, Computer Engineering or related field.
• Programming knowledge in Java and Python, including testing and optimizing code.
• Experience in designing and building scalable distributed services for cloud infrastructure.
• Familiarity with AWS services such as Amazon S3, EC2, and EKS/Kubernetes.
• Knowledge of system-level concepts including database internals, operating systems, and file systems.

• Build rich user interfaces powered by sophisticated backend systems.
• Develop and maintain systems to manage the lifecycle of datasets.
• Design, build, and maintain data/indexing pipelines for information retrieval.
• Monitor and optimize the performance and scalability of cloud infrastructure solutions.
• Implement AI/ML models efficiently and enhance system responsiveness through algorithmic improvements.

• 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.