Job Description

Apple delivers great features and great privacy to our users. The Privacy Engineering team works with teams all across the company to make sure that products and services protect user privacy by designing architectures that reduce the exposure of user data at all levels of the technology stack. We are looking for an outstanding candidate to become a member of the Apple User Privacy Team.

We are seeking an experienced engineer to provide privacy guidance to teams across Apple, with a particular focus on our advertising platforms. This includes feature reviews and the design of new, privacy-preserving data collection, ad selection, and measurement methodologies that allow Apple and advertisers to understand and improve campaign performance without compromising user privacy. It also includes guiding the roadmap of privacy-enhancing technologies used in ads attribution and optimization, such as differential privacy, on-device aggregation, multi-party computation, and privacy-preserving ad measurement protocols.

Preferred Qualifications

Passion for customer privacy
Strong collaboration, communication, interpersonal, and organizational skills
Ability to learn and research new technologies rapidly, assess privacy exposures, and suggest mitigations
Ability to analyze systems' architectures for privacy impact
Ability to solve complex problems independently
Familiarity with industry attribution standards and privacy-preserving ad measurement approaches (e.g., aggregated event measurement, on-device attribution)
Knowledgeable about Apple's privacy pillars(https://developer.apple.com/videos/play/wwdc2021/10085/)& AdAttributionKit and SKAdNetwork frameworks

Minimum Qualifications

BSCS or equivalent experience
Experience conducting privacy reviews for advertising, measurement, or attribution systems
Experience with privacy-enhancing technologies relevant to ads attribution, such as differential privacy, private/aggregated measurement, or private set intersection
Programming experience