Senior Privacy Engineer, Intelligence (User Privacy)

Apple Inc

Confirmed live today Trusted

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$324,800 / yr
Posted
137 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $203k
This role $255k
$143k $344k
below market most similar roles pay here above market

This role pays more than 85% of similar roles. Most pay $167,715–$237,375 — the blue band above. At the midpoint, this role pays about $255k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 roles with salary data.

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At a glance

TL;DR · Senior Privacy Engineer, Intelligence (User Privacy)

The Senior Privacy Engineer, Intelligence (User Privacy) joins the User Privacy Team to provide guidance on machine learning and generative AI infrastructure. This role involves reviewing features to identify privacy exposures, auditing new products for bugs, and designing privacy-preserving data collection methodologies for AI system evaluation. The engineer will communicate risks to senior leadership and partner with cryptographers and technical experts to develop roadmaps for privacy technologies. Key technical requirements include experience with foundation models, differential privacy, and private federated learning. The position requires conducting privacy reviews, analyzing system architectures, and utilizing programming experience to solve complex problems. The work focuses on protecting user privacy by designing architectures that reduce data exposure across the technology stack while enabling the training and evaluation of generative AI systems.

What you'll do

  • Review product features to identify privacy exposures and design technical mitigations.
  • Audit new products to identify development bugs and evaluate customer data for privacy impact.
  • Communicate privacy risks and proposed mitigations to senior leadership to drive decision-making.
  • Design privacy-preserving data collection methodologies for training and evaluating generative AI systems.
  • Develop a roadmap for privacy technologies like differential privacy and private federated learning.
  • Provide technical guidance to engineers on selecting the appropriate privacy technologies for new features.

What we're looking for

  • Bachelor of Science in Computer Science or equivalent experience.
  • Experience with foundation models, including training and evaluation.
  • Experience with differential privacy or private federated learning.
  • Experience conducting privacy reviews.
  • Passion for customer privacy (preferred).
  • Strong collaboration, communication, interpersonal, and organizational skills (preferred).
  • Ability to learn and research new technologies rapidly, assess privacy exposures, and suggest mitigations (preferred).
  • Ability to analyze systems’ architectures for privacy impact (preferred).

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