Senior Platform Engineer, Privacy Preserving ML

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$139,500–$258,100 / yr
Posted
56 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k
This role $199k
$125k most similar roles pay here $272k

This role pays less than 60% of similar roles. Most pay $172,500–$236,900 — the shaded band above. At the midpoint, this role pays about $199k versus about $205k for comparable roles.

Based on 239 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 · Senior Platform Engineer, Privacy Preserving ML

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As a Senior Platform Engineer on Apple’s Privacy Preserving Machine Learning team, you will work with cross-functional teams to develop and deploy cutting-edge privacy-preserving technologies for measurement and machine learning. Your responsibilities include designing end-to-end systems that meet stringent privacy standards while maintaining high utility, supporting the automation of infrastructure as code to accelerate product development, and independently solving complex problems at the intersection of privacy and AI. You will also contribute to data collection systems that enable training generative models while preserving user privacy. The ideal candidate has extensive experience in backend development, deploying scalable data-intensive systems, and proficiency in languages like Python, Swift, or C++. Additionally, familiarity with differential privacy, secure multi-party computation, and DevOps practices such as Kubernetes is highly beneficial for this role at Apple’s scale.

Skills

Python Swift C++ Kubernetes CI/CD Docker Terraform AWS PostgreSQL GitOps A/B testing Distribution estimation Sampling theory Differential privacy Secure multi-party computation Private federated learning PII redaction frameworks

What you'll do

  • Design, develop, and deploy end-to-end measurement systems that meet Apple’s privacy standards.
  • Build and maintain infrastructure as code and automation systems to accelerate product development.
  • Solve complex problems at the intersection of privacy-preserving measurement and machine learning independently.
  • Contribute to data collection systems enabling training and evaluation of generative AI while preserving user privacy.
  • Architect, deploy, and scale data-intensive systems for efficient processing and analysis.

What we're looking for

  • 2+ years of industry experience in software engineering or related field.
  • Strong background in architecting, deploying, and scaling data-intensive systems.
  • Proficiency in Python, Swift, C++, and hands-on SW development skills.
  • Experience building automation and hardening data processing pipelines.
  • Excellent problem-solving abilities and collaboration with cross-functional teams.

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