The Apple Ads EPM team is seeking a senior Engineering Program Manager with a focus on machine learning to lead complex initiatives within their algorithmic systems. This role involves close collaboration with engineers, researchers, and product managers to drive strategic roadmaps and deliver scalable ML capabilities. The ideal candidate will possess strong systems thinking and communication skills, enabling them to navigate ambiguous technical challenges effectively. The position requires a deep understanding of ML systems and the ability to influence teams towards shared outcomes.

• 5+ years leading complex technical programs related to AI/ML systems.
• Strong understanding of ML systems, software architecture, and technical dependencies across large-scale platforms.
• Excellent written and verbal communication skills with technical teams and senior leadership.
• Demonstrated ability to learn complex technical domains quickly and operate independently in ambiguity.
• Familiarity with distributed systems, low-latency architectures, cloud platforms, or other large-scale systems.

• Lead complex initiatives across machine learning and algorithmic systems.
• Partner closely with engineers, researchers, product managers, and technical leaders.
• Drive strategic roadmaps and connect dependencies across teams.
• Anticipate risks and deliver scalable ML capabilities that support Apple Ads.
• Influence technical direction and challenge assumptions across teams without direct authority.

• 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.