The Privacy Preserving Machine Learning team at Apple is seeking an experienced platform learning engineer to help build privacy-preserving technologies for measurement and machine learning. This role involves working with various teams across the company to provide tools and support for advanced privacy-preserving systems. Candidates should have a strong technical background, particularly in backend development and data-intensive systems. A passion for customer privacy and adaptability to new technologies are essential for success in this position.

• 2+ years of industry experience with a Bachelor's degree or equivalent experience in Computer Science or a related technical field.
• Experience architecting, deploying, and scaling data-intensive systems.
• Strong hands-on experience in software development, with proficiency in one or more programming languages such as Python, Swift, and C++.
• Experience building systems to orchestrate, automate, and harden data processing pipelines.
• Experience with differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks.
• Experience with DevOps/GitOps, CI/CD, and containerized deployment frameworks like Kubernetes.
• Experience with statistical techniques for A/B testing, distribution estimation, and sampling theory.
• Experience with compliance, security protocols, and defense in depth to reduce vulnerabilities.
• 5+ years of industry experience.
• Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field.

• Develop and implement privacy-preserving technologies for measurement and machine learning.
• Collaborate with cross-functional teams to provide tools and support for privacy-preserving systems.
• Architect, deploy, and scale data-intensive systems.
• Build systems to orchestrate, automate, and harden data processing pipelines.
• Utilize statistical techniques for A/B testing and distribution estimation.
• Ensure compliance with security protocols and reduce vulnerabilities in systems.

• 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.