This role at Apple combines Privacy Engineering with hands-on software engineering within the Privacy Preserving Machine Learning team. The team focuses on developing tools and support for privacy-preserving measurement and machine learning across the company. The ideal candidate will have a strong interest in practical privacy applications and will advocate for privacy technologies. This position requires collaboration with multiple teams to uphold Apple's high privacy standards.

• Strong interpersonal skills and the ability to influence and build consensus.
• Passion for customer privacy.
• Strong collaboration, communication, interpersonal, and organizational skills.
• Strong software engineering skills and the ability to solve complex problems independently.
• Experience with differential privacy or private federated learning.
• Bachelor's degree in Computer Science, Electrical Engineering, or equivalent experience.
• Real-world experience implementing privacy, trust, or security measures in consumer products or services.
• Participation in public standards forums or academic publications in privacy and machine learning is strongly preferred.

• Build privacy-preserving technologies for measurement and machine learning.
• Guide policy and product decisions to maintain Apple's industry-leading privacy standards.
• Analyze system architectures for privacy impact.
• Learn and research new technologies and use cases rapidly.
• Assess privacy exposures and suggest mitigations.

• 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.