Senior Platform Engineer, Privacy Preserving ML

Apple Inc

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $175,000–$308,500 / yr
Posted: 107 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $227k

This role $242k

$159k most similar roles pay here $325k

This role pays more than 59% of similar roles. Most pay $199,950–$254,750 — the shaded band above. At the midpoint, this role pays about $242k versus about $227k for comparable roles.

Based on 240 similar postings.

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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 Platform Engineer, Privacy Preserving ML

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Senior Platform Engineer, Privacy Preserving ML joins the Privacy Preserving Machine Learning team to build and scale privacy-preserving technologies for measurement and machine learning across various products. The role involves designing, developing, and deploying end-to-end measurement systems that maintain high utility while meeting strict privacy standards. Key responsibilities include building infrastructure as code, creating automation systems to accelerate development, and managing data collection, training, and evaluation of generative AI and machine learning systems. Candidates must be proficient in programming languages such as Python, Swift, and C++ while demonstrating expertise in architecting and scaling data-intensive systems. The work involves solving complex problems at the intersection of privacy-preserving measurement and machine learning using techniques like differential privacy, secure multi-party computation, private federated learning, and PII redaction frameworks within a robust technical environment.

What does a Platform Engineer earn?

Median $150000 from 32 postings across 22 companies.

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Skills

Python Swift C++ Machine Learning Generative AI Kubernetes CI/CD DevOps GitOps Infrastructure as Code Differential Privacy Secure Multi-party Computation Federated Learning Data Processing Pipelines A/B Testing Sampling Theory Security Protocols

What you'll do

Design, develop, and deploy end-to-end measurement systems that meet high privacy standards.
Build and maintain infrastructure as code and automation systems to scale products across the company.
Solve complex technical problems at the intersection of privacy-preserving measurement and machine learning.
Develop data collection, training, and evaluation systems for generative AI while preserving user privacy.
Architect, deploy, and scale data-intensive backend systems.
Build and harden automated data processing pipelines to orchestrate large-scale workflows.
Implement privacy-preserving technologies such as differential privacy or secure multi-party computation.

What we're looking for

Bachelor's degree or equivalent experience in Computer Science or a related technical field.
Master's degree or PhD in Computer Science, Software Engineering, or a related technical field.
2+ years of industry experience.
5+ years of industry experience.
Experience architecting, deploying, and scaling data intensive systems.
Proficiency in one or more programming languages such as Python, Swift, and C++.
Experience building systems to orchestrate, automate, and harden data processing pipelines.
Experience with differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks.

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