AIML Privacy-Engineering Rotation

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$120,300–$210,100 / 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 $165k
$108k most similar roles pay here $238k

This role pays less than 56% of similar roles. Most pay $142,450–$215,712 — the shaded band above. At the midpoint, this role pays about $165k 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 to develop cutting-edge privacy-preserving technologies for measurement and machine learning. This unique role involves rotating between hands-on software engineering and privacy engineering, culminating in an opportunity to join either team full-time. You will design, develop, and deploy end-to-end systems that uphold Apple’s stringent privacy standards while communicating complex trade-offs and risks to senior leadership. Key responsibilities include fostering cross-team collaboration and influencing policy decisions. Ideal candidates possess strong software engineering skills, experience with differential privacy or private federated learning, and a passion for customer privacy. Proficiency in relevant technologies such as Python, Rust, and familiarity with machine learning frameworks is essential.

Skills

Python DifferentialPrivacy FederatedLearning CI/CD AWS Kubernetes PostgreSQL Git GitHub Swagger JSON RESTfulAPIs OAuth2.0 OpenAPISpecification Cryptography DataEncryption CloudSecurity ZeroKnowledgeProofs

What you'll do

  • Design and develop end-to-end measurement systems that meet Apple’s high privacy standards.
  • Communicate system design tradeoffs and privacy risks to senior leadership for informed decision-making.
  • Build consensus and collaborate across multiple teams on complex projects.
  • Implement privacy-preserving technologies for machine learning and measurement.
  • Analyze system architectures for potential privacy impacts and suggest mitigations.

What we're looking for

  • Strong software engineering skills and ability to solve complex problems independently.
  • Experience with differential privacy or private federated learning.
  • Passion for customer privacy and strong interpersonal and communication skills.
  • Ability to build cross-team consensus and collaboration.
  • BS in Computer Science, EE or equivalent experience.

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