Privacy Engineer - Systems Experiences, Apps, and Technologies

Apple Apple · Big Tech · Cupertino, CA +1 · Software and Services

This Privacy Engineer role at Apple focuses on designing and reviewing features and data collection methodologies to protect user privacy, particularly in the context of generative AI systems and fraud detection. The role involves guiding the development of data collection systems for training and evaluating AI, auditing products for privacy risks, and partnering with technical experts to build privacy-preserving features.

What you'd actually do

  1. Review features to identify privacy exposures and partner with teams to design mitigations.
  2. Audit new products to identify bugs in development, and review customer data collected by engineering teams to drive decisions for privacy impact.
  3. Communicate privacy risks and potential mitigations to senior leadership to drive decisions.
  4. Guide the development of data collection systems that enable training and evaluation of generative AI systems while preserving privacy.
  5. Review data collection requests and systems that enable product improvement while preserving privacy.

Skills

Required

  • BSCS or equivalent experience
  • Experience with cryptography and its use for end-to-end encrypting data or anonymizing users
  • Experience with differential privacy or private federated learning
  • Programming experience

Nice to have

  • 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

What the JD emphasized

  • Creative problem solving
  • analytical, and deductive reasoning skills are critical
  • Ability to learn quickly
  • excitement for new things is a must

Other signals

  • privacy-preserving data collection methodologies
  • training and evaluation of generative AI systems
  • fraud detection algorithms