below marketmost similar roles pay hereabove market
This role pays less than
85%
of similar roles. Most pay
$195,369–$254,750
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$225k
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
3497 open roles
on FindRole.
Listed pay typically runs
$174,149–$277,600
across 2702 roles with salary data.
JOB TITLE: Platform Engineer, Privacy Preserving ML
The 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. You will design, develop, and deploy end-to-end measurement systems that maintain high utility while meeting strict privacy standards. Daily responsibilities include building and maintaining infrastructure as code, creating automation systems, and developing data collection, training, and evaluation pipelines for generative AI and machine learning systems. The role requires proficiency in Python, Swift, and C++ to architect and scale data-intensive systems. Key technical competencies include differential privacy, secure multi-party computation, private federated learning, and PII redaction frameworks. You will solve complex problems at the intersection of privacy-preserving measurement and machine learning while utilizing statistical techniques for A/B testing and sampling theory.
What does a Platform Engineer earn?
Median $156250 from 30 postings across 22 companies.
Python
Swift
C++
Machine Learning
Generative AI
Differential Privacy
Secure Multi-party Computation
Private Federated Learning
Infrastructure as Code
Data Processing Pipelines
PII Redaction
A/B Testing
Statistical Techniques
Backend Development
Data Intensive Systems
PyTorch
TensorFlow
CI/CD
LLMs
Distributed Training
Deep Learning
Machine Learning
API
SDKs
Reinforcement Learning
Multimodal Models
Data Drift
Privacy-Preserving ML
Agentic AI