Senior Privacy Engineer, Intelligence (User Privacy)

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$257,400–$386,300 / yr
Posted
4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $185k
This role $322k
$104k most similar roles pay here $417k

This role pays more than 98% of similar roles. Most pay $151,475–$218,293 — the shaded band above. At the midpoint, this role pays about $322k versus about $185k 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 1777 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1443 roles with salary data.

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At a glance

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

As a Senior Privacy Engineer at Apple’s Intelligence team, you will join a dedicated group focused on safeguarding user privacy across various products and services. Your primary responsibilities include reviewing features to identify potential privacy risks, auditing new products for data protection issues, and collaborating with technical experts to develop privacy-preserving methodologies for AI systems. You will also guide the roadmap of privacy technologies such as differential privacy and private federated learning, ensuring that engineering teams adhere to strict privacy standards while innovating. This role demands expertise in machine learning, differential privacy, and foundational models, along with strong communication skills and the ability to quickly adapt to new technologies.

What you'll do

  • Review features to identify privacy exposures and design mitigations with teams.
  • Audit new products to find bugs and review customer data for privacy impact.
  • Communicate privacy risks and mitigations to senior leadership for decision-making.
  • Guide development of data collection systems for AI training while preserving privacy.
  • Partner with experts to develop roadmap for privacy technologies like differential privacy.

What we're looking for

  • Bachelor’s degree in Computer Science or equivalent work experience.
  • Experience with foundation models, including training and evaluation processes.
  • Proficiency in differential privacy and private federated learning techniques.
  • Strong track record of conducting comprehensive privacy reviews.
  • Excellent communication skills for conveying privacy risks to leadership.
  • Rapid learning ability for new technologies and assessing privacy impacts.
  • Independent problem-solving capabilities for complex technical challenges.

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