Senior Privacy Engineer, Privacy Engineering

Socket.dev; Cupertino (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Apple is seeking an experienced engineer to provide privacy guidance across our advertising platforms. The role focuses on feature reviews and designing privacy-preserving data collection, ad selection, and measurement methodologies that balance campaign performance with user privacy.

The candidate will guide the roadmap of privacy-enhancing technologies used in ads attribution and optimization, including on-device processing and differential privacy. Strong collaborative skills are essential.

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.

Responsibilities

• Provide privacy guidance to teams across Apple.
• Perform feature reviews with a privacy-first lens.
• Design privacy-preserving data collection, ad selection, and measurement methodologies.
• Guide roadmap of privacy-enhancing technologies used in ads attribution and optimization.
• Assess privacy exposures in system architectures and propose mitigations.

Skills

BSCS or equivalent

Privacy reviews

Privacy-enhancing tech

Programming

Education

BSCS or equivalent

Job description

DESCRIPTION

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.

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

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