AIML Privacy-Engineering Rotation

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$126,800–$220,900 / yr
Posted
55 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $179k
This role $174k
$115k most similar roles pay here $237k

This role pays more than 52% of similar roles. Most pay $142,450–$215,712 — the shaded band above. At the midpoint, this role pays about $174k versus about $179k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · AIML Privacy-Engineering Rotation

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Join the Privacy Preserving Machine Learning team as a senior engineer and privacy advocate, combining hands-on software engineering with privacy engineering rotations. You will design, develop, and deploy end-to-end measurement systems that uphold Apple’s industry-leading privacy standards while working closely with the Privacy Engineering team to communicate system tradeoffs and risks to leadership. This role requires strong collaboration skills and experience in differential privacy or private federated learning, alongside a background in software engineering and complex problem-solving. Ideal candidates will have real-world experience implementing privacy measures in consumer products, participation in public forums on privacy and machine learning, and the ability to rapidly assess new technologies for privacy impact.

Skills

Differential Privacy Private Federated Learning Python Rust C++ SQL PostgreSQL Kubernetes AWS CI/CD MLOps Git GitHub Swagger JSON-schema OAuth2.0 OpenAPI Zookeeper Hadoop Spark

What you'll do

  • Design, develop, and deploy end-to-end measurement systems with high utility.
  • Communicate system design tradeoffs and privacy risks to senior leadership.
  • Build cross-team consensus for privacy-preserving technologies.
  • Guide policy and product decisions to uphold Apple’s industry-leading privacy standards.
  • Analyze systems’ architectures for potential privacy impacts.

What we're looking for

  • Strong software engineering skills with experience solving complex problems independently.
  • Experience in differential privacy or private federated learning.
  • Proven ability to collaborate, communicate effectively, and build consensus across teams.
  • BS degree in Computer Science, Electrical Engineering, or equivalent practical experience.
  • Ability to analyze system architectures for potential privacy impacts and suggest mitigations.

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