The Apple User Privacy Team is seeking an experienced engineer to provide privacy guidance for machine learning and generative AI infrastructure. This role focuses on ensuring that products and services protect user privacy through the design of data collection methodologies and the evaluation of AI systems. The candidate will work closely with various teams to identify privacy exposures and develop mitigations. A passion for customer privacy and strong communication skills are essential for success in this position.

• BSCS or equivalent experience
• Experience with foundation models, including training and evaluation
• Experience with differential privacy or private federated learning
• Experience conducting privacy reviews
• Strong collaboration, communication, interpersonal, and organizational skills
• Ability to learn and research new technologies rapidly
• Ability to analyze systems' architectures for privacy impact
• Programming experience

• Review features to identify privacy exposures and partner with teams to design mitigations.
• Audit new products to identify bugs in development and review customer data collected by engineering teams.
• Communicate privacy risks and potential mitigations to senior leadership.
• Guide the development of data collection systems that enable training and evaluation of generative AI systems while preserving privacy.
• Partner with cryptographers and technical experts to develop the roadmap for privacy technologies.

• 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.