Senior Privacy Engineer, Intelligence (User Privacy)

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$262,500–$394,000 / yr
Posted
91 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $203k
This role $328k
$136k most similar roles pay here $422k

This role pays more than 96% of similar roles. Most pay $167,900–$237,287 — the shaded band above. At the midpoint, this role pays about $328k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

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

Senior Privacy Engineer, Intelligence (User Privacy) joins the User Privacy Team to provide critical privacy guidance across the company regarding machine learning and generative AI infrastructure. The role involves conducting feature reviews to identify exposure risks, auditing new products for bugs, and reviewing customer data to drive informed decisions on privacy impact. You will design privacy-preserving data collection methodologies for training and evaluating generative AI systems while collaborating with cryptographers and technical experts in software engineering and artificial intelligence to develop roadmaps for technologies like differential privacy and private federated learning. Candidates must possess experience with foundation models, differential privacy, private federated learning, and conducting privacy reviews. Essential skills include analytical reasoning, complex problem solving, and the ability to communicate risks to senior leadership while navigating diverse systems and technical architectures.

What you'll do

  • Review product features to identify privacy exposures and design technical mitigations.
  • Audit new products to identify bugs during development and evaluate customer data impact.
  • Communicate privacy risks and potential mitigation strategies to senior leadership for decision-making.
  • Design privacy-preserving data collection methodologies for training and evaluating generative AI systems.
  • Develop the roadmap for privacy technologies including differential privacy and private federated learning.
  • Advise engineering teams on selecting appropriate privacy technologies for new feature development.

What we're looking for

  • A Bachelor of Science in Computer Science or equivalent experience is required.
  • Experience with foundation models, including training and evaluation, is required.
  • Experience with differential privacy or private federated learning is required.
  • Experience conducting privacy reviews is required.
  • Programming experience is preferred.
  • Strong communication, collaboration, and organizational skills are preferred.
  • Ability to research new technologies rapidly and analyze system architectures for privacy impact is preferred.
  • Ability to solve complex problems independently and provide guidance on privacy risks to leadership is preferred.

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