The AIML Engineering Program Manager role at Apple focuses on delivering production-grade machine learning and analytics solutions within the Retail Decision Automation team. This position involves partnering with technical and business teams to manage a diverse portfolio of machine learning solutions aimed at enhancing customer experiences. The ideal candidate will lead programs from inception to implementation, ensuring alignment with broader objectives. A strong emphasis is placed on accountability, high performance, and fostering an inclusive program culture.

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field
• 7+ years of technical program or product management experience
• Strong experience working with machine learning, analytics, or data science-driven programs
• Proven ability to lead high-impact, cross-functional initiatives with multiple decision points and success metrics
• Excellent organizational, prioritization, and communication skills
• Experience managing multiple ML or analytics decision points within a large-scale or enterprise program
• Familiarity with modern data and ML tooling such as Airflow, Spark, Snowflake, and model monitoring tools

• Own a diverse portfolio of agentic features and machine learning decision points, ensuring alignment with broader program objectives and measurable value delivery.
• Drive strategy, prioritization, and delivery of ML- and analytics-powered solutions across multiple business areas.
• Guide programs from inception through implementation by partnering with data scientists, analysts, engineers, and business stakeholders.
• Serve as a program leader who inspires accountability, high performance, and continuous improvement.

• 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.