The Ads ML Experimentation team at Apple is seeking a Machine Learning Engineer to develop full-stack applications that enhance the advertising systems. This role focuses on creating intuitive user interfaces that simplify complex statistical concepts and machine learning workflows. The engineer will work closely with cross-functional teams to ensure effective application development while maintaining Apple's commitment to privacy. The position emphasizes user experience and aims to make advanced experimentation and AI accessible across Apple Ads.

• Fluency in full-stack development using React, TypeScript, and modern JavaScript.
• Industry experience in the machine learning domain, with a background in building features and models.
• Experience in the advertising domain.
• Strong understanding of data structures and algorithms for optimization.
• Proficiency with database design and SQL.
• Experience with A/B testing infrastructure and methodologies.
• Excellent communication and presentation skills.

• Design and build the next generation ML and experimentation platform for the Apple Ads ecosystem.
• Transform complex ML workflows into intuitive web applications.
• Introduce AI-powered insights through seamless user interfaces.
• Develop workflows from model training to A/B testing and evaluation.
• Conduct user research and iterate on designs based on feedback.
• Measure success through user adoption and satisfaction.
• Collaborate with cross-functional teams to coordinate application development.

• 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.