Senior Privacy Software Engineer, Privacy Engineering (Sensing and Intelligence)

Apple Inc

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$277,600 / yr
Posted
104 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $231k
$151k $291k
below market most similar roles pay here above market

This role pays more than 72% of similar roles. Most pay $171,674–$235,750 — the blue band above. At the midpoint, this role pays about $231k versus about $204k 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 3544 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2734 roles with salary data.

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At a glance

TL;DR · Senior Privacy Software Engineer, Privacy Engineering (Sensing and Intelligence)

The Senior Privacy Software Engineer, Privacy Engineering (sensing and Intelligence) 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 evaluating AI systems. You will partner with cryptographers and technical experts to develop roadmaps for privacy technologies like differential privacy and private federated learning. Key responsibilities include communicating risks to senior leadership and guiding the development of data collection systems that protect user privacy. Candidates must possess programming experience, the ability to analyze system architectures for privacy impact, and experience with foundation models. The work focuses on mitigating data exposure across the technology stack while enabling AI training.

What you'll do

  • Review product features to identify privacy exposures and design technical mitigations.
  • Audit new products for development bugs and review customer data for privacy impact.
  • Communicate privacy risks and potential mitigation strategies to senior leadership.
  • Design privacy-preserving data collection systems for training and evaluating generative AI.
  • Partner with cryptographers to develop roadmaps for differential privacy and private federated learning.
  • Provide technical guidance to engineers on selecting appropriate privacy technologies for new features.

What we're looking for

  • BS in Computer Science or equivalent experience.
  • Ability to analyze system architectures for privacy impact.
  • Ability to learn and research new technologies rapidly to assess privacy exposures and suggest mitigations.
  • Ability to solve complex problems independently.
  • Strong collaboration, communication, interpersonal, and organizational skills.
  • Experience with foundation models, including training and evaluation (preferred).
  • Experience with differential privacy or private federated learning (preferred).

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