The role is focused on driving the end-to-end delivery of large-scale Machine Learning and Generative AI programs within Apple Media Products. The team is dynamic and collaborates with various cross-functional partners to define product roadmaps and optimize feature development processes. The position requires strong program management skills and the ability to navigate complex technical discussions. Successful candidates will have a personal stake in the products they ship and thrive in uncertain environments.

• 5+ years of program management experience, including experience with the complete software development and ML life cycle.
• Demonstrated experience managing end-to-end Machine Learning projects.
• BA/BS in Computer Science, Computer Engineering, or similar field or relevant industry experience.
• Ability to execute cross-functional and cross-organization project management.
• Strong facilitation skills for meetings and requirements sessions.
• Best-in-class communication and presentation skills to all levels of an organization.

• Drive the end-to-end delivery of large-scale ML and GenAI features.
• Lead the strategic planning, execution, and delivery of multiple concurrent ML/GenAI features.
• Cultivate strong collaborative relationships with cross-functional partners.
• Spearhead initiatives to optimize feature development and execution processes.
• Contribute to the overall ML/GenAI strategy for Apple Media Products.
• Effectively communicate program status, risks, and mitigation plans to stakeholders.

• 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.