The team is seeking a skilled engineer to enhance iOS through intelligent, proactive, and personalized experiences. This role involves leveraging on-device machine learning to improve user interactions with notifications, widgets, and app predictions. The engineer will collaborate with software and machine learning experts to design and implement innovative solutions while ensuring privacy and performance. The focus is on delivering high-quality features that delight millions of Apple customers.

• M.S. or PhD in Machine Learning, Computer Science, or a related field.
• 5+ years of proven experience building machine learning systems.
• Comprehensive understanding of machine learning algorithms and deep learning architectures.
• Experience in resource-constrained computing, such as embedded systems or mobile development.
• Strong foundation in Computer Science fundamentals and software engineering best practices.
• Proficiency with machine learning libraries such as TensorFlow, Scikit-learn, or PyTorch.
• Experience working with large-scale and real-world datasets for various machine learning problems.

• Drive the development of machine learning models to enhance iOS experiences.
• Provide technical leadership across a variety of products and features.
• Create innovative data and machine learning solutions.
• Collaborate with engineers and cross-functional partners to implement and scale machine learning solutions.
• Ensure high-quality feature delivery while adhering to device power and performance constraints.

• 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.