The Machine Learning Engineer role at Apple Ads focuses on developing algorithms for the retrieval system to enhance ad relevance and user engagement. This position involves working with complex problems in the ads retrieval space while adhering to Apple's privacy principles. The engineer will collaborate with cross-functional teams to ensure the feasibility and robustness of new capabilities. The role also emphasizes the importance of innovation and strategic outcomes in the advertising domain.

• 4+ years of experience building machine learning capabilities across various product areas at scale.
• Proven experience in NLP, information retrieval, and search.
• Ability to apply and implement research concepts in production quality code.
• Experience defining clear, testable research hypotheses with intended business impact.
• Deep understanding of design of experiments and online experimentation approaches.
• Experience contributing to or reviewing research for top conferences and publications.
• Master's or equivalent experience in NLP, Machine Learning, Statistics, Forecasting, Optimization, Reinforcement Learning, or related fields.
• 7+ years of experience building machine learning capabilities across various product areas at scale.
• PhD or equivalent experience in NLP, Machine Learning, Deep Learning, Large Language Models, or related fields.

• Develop algorithms for the ads retrieval system to improve outcomes and platform revenue.
• Drive step-change improvements in ad quality and relevance.
• Own the ideation, development, testing, and productization of machine learning algorithms.
• Work with cross-functional teams to ensure the feasibility of new capabilities.
• Present findings and insights across the organization.
• Review and contribute to state-of-the-art research in the field.

• 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.