Apple Ads is seeking a self-motivated individual to build the next generation of their ads platforms, focusing on delivering relevant and high-quality ad experiences while maintaining a healthy marketplace. The ideal candidate will have a strong background in auction theory, applied machine learning, and large-scale systems. This role involves designing the core auction system that powers the advertising platform and driving optimal outcomes for advertisers and users. The position requires collaboration with cross-functional teams and the ability to work under tight deadlines.

• 5+ years of experience working in online advertising, marketplace design, or large-scale recommendation/auction systems.
• Strong background in auction theory, mechanism design, optimization, statistics, or machine learning.
• PhD in Economics, Operations Research, Machine Learning, Statistics, Control Theory, Forecasting, Optimization, Reinforcement Learning or related field, or equivalent experience.
• Deep fluency in Java or Python.
• Experience with Spark, Hadoop or other distributed frameworks.

• Design the core auction system that powers the advertising platform.
• Build next generation solutions for marketplace optimization.
• Apply state of the art techniques in a fast growing business.
• Formulate and advocate for R&D objectives and results to cross-functional team members.
• Contribute to and review research for top conferences and publications.

• 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.