Senior Privacy Engineer, Privacy Engineering

Cupertino, CA, US • Posted 1 day ago • Updated 1 hour ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • FOCUS
  • Data Collection
  • Roadmaps
  • Optimization
  • Advertising
  • ADS
  • Collaboration
  • Communication
  • Organizational Skills
  • Research
  • Privacy

Summary

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.

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(; AdAttributionKit and SKAdNetwork frameworks
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: c50d5a493bbbb655251029981f1d924d
  • Posted 1 day ago
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