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

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$184,700–$277,600 / yr
Posted
58 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k
This role $231k
$135k most similar roles pay here $293k

This role pays more than 83% of similar roles. Most pay $159,157–$221,025 — the shaded band above. At the midpoint, this role pays about $231k versus about $190k 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 Software Engineer, Privacy Engineering (Sensing and Intelligence)

Role Posting Log in to save

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 to enable the evaluation of AI systems. The engineer will collaborate with cryptographers and technical experts in software engineering and AI/ML to develop roadmaps for technologies such as differential privacy and private federated learning. Key responsibilities include communicating risks to leadership and building systems that protect user data across the technology stack. Candidates must possess programming experience, analytical reasoning, and the ability to evaluate system architectures. The role specifically addresses the technical challenge of balancing large-scale AI training and evaluation with robust data protection protocols for users.

Skills

Differential Privacy Federated Learning Machine Learning Foundation Models System Architecture Data Collection Systems Privacy Engineering

What you'll do

  • Review product features to identify privacy exposures and design technical mitigations.
  • Audit new products to identify bugs and evaluate the impact of collected customer data.
  • Communicate privacy risks and potential mitigation strategies to senior leadership to drive decision-making.
  • Design privacy-preserving data collection systems for training and evaluating generative AI models.
  • 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 programming.
  • Ability to analyze system architectures for privacy impact.
  • Ability to research new technologies rapidly and suggest mitigations for privacy exposures.
  • Ability to solve complex problems independently.
  • Strong communication, collaboration, interpersonal, and organizational skills.
  • Experience with foundation models, including training and evaluation.
  • Experience with differential privacy or private federated learning.

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