Platform Engineer — Privacy-Preserving ML

Apple, Inc.; Seattle (WA); On-site; USD 123,000 - 214,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Tuition reimbursement

Employee stock programs

Relocation assistance

Job summary

Apple in Seattle is seeking a Platform Engineer for Privacy Preserving ML. You will collaborate across teams to design and deploy end-to-end measurement systems with strong privacy controls, and contribute to infrastructure as code and data pipelines.

The role emphasizes backend development, scalable data-intensive systems, and applying differential privacy / secure MPC techniques to real products. You will work with Python, Swift, or C++ and influence across the company.

Qualifications

• We require 0–2 years of industry experience with a Bachelor's degree or equivalent.
• Experience with differential privacy or related privacy-preserving techniques is preferred.
• Experience architecting, deploying, and scaling data-intensive systems.
• Proficiency in Python, Swift, or C++ for SW development.
• Ability to build orchestration and automation for data pipelines.

Responsibilities

• Design, develop, and deploy end-to-end measurement systems with strong privacy.
• Build and maintain infrastructure as code to scale products across Apple.
• Operate independently to solve complex privacy-preserving ML problems.
• Contribute to data collection, training, and evaluation of ML systems with privacy in mind.

Skills

Python

Swift

C++

Differential privacy

Data pipelines

Machine learning

Backend development

Collaboration

Education

Bachelor's degree in Computer Science or related field

Job description

Apple in Seattle is seeking a Platform Engineer for Privacy Preserving ML. You will collaborate across teams to design and deploy end-to-end measurement systems with strong privacy controls, and contribute to infrastructure as code and data pipelines.

The role emphasizes backend development, scalable data-intensive systems, and applying differential privacy / secure MPC techniques to real products. You will work with Python, Swift, or C++ and influence across the company.