In this role, you will join Apple's Privacy Preserving Machine Learning team, which focuses on developing tools and support for privacy-preserving measurement and machine learning across various products. You will collaborate with engineers and scientists to translate their machine learning investigations into production capabilities. Your work will enhance features deployed to billions of devices while ensuring user privacy. This position requires a strong commitment to customer privacy and innovative problem-solving skills.

• 2+ years of industry experience with a Bachelor's degree or equivalent experience in Computer Science or a related technical field.
• Proficiency in one or more programming languages such as Python and Swift.
• Experience building software that runs in the background or on a schedule on largely autonomous systems.
• Experience designing and operating distributed systems at scale.
• Experience with privacy-enhancing technologies such as differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks.
• Experience training, evaluating, and deploying machine learning models to production.
• 5+ years of industry experience.
• Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field.

• Work with engineers and scientists to understand the goals of machine learning features.
• Design systems that turn machine learning investigations into production capabilities.
• Collaborate with teams across the company to enhance user experience while protecting privacy.
• Develop tools and support for privacy-preserving measurement and machine learning.

• 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.