Platform Engineer: Privacy-Preserving ML & Measurement

Apple, Inc.; Cupertino (CA); On-site; USD 129,000 - 225,000; Full time

Job summary

Apple, Inc. in Cupertino, California, is seeking a Platform Engineer for Privacy Preserving ML to build and scale privacy-preserving measurement and machine learning tools across products.

You will work with backend development, deploy data-intensive pipelines, and collaborate with cross-functional teams to maintain the highest privacy bar. The role emphasizes strong coding in Python/Swift/C++ and scalable infrastructure.

Qualifications

• Bachelor's degree in CS or related field or equivalent experience.
• Strong backend development experience with data-intensive systems.
• Proficiency in Python, Swift, or C++.
• Experience with data pipelines and automation.
• Ability to collaborate across teams to solve complex problems.
• Interest or experience in privacy-preserving ML is a plus.

Responsibilities

• Collaborate with engineers to design and deploy end-to-end measurement systems.
• Maintain infrastructure as code and automation to scale products.
• Operate independently to solve complex privacy-preserving ML problems.
• Contribute to data collection, training, and evaluation of ML systems.
• Support generative AI/ML work while preserving user privacy.

Skills

Python

Swift

C++

Education

Bachelor's degree in Computer Science or related field

Job description

Apple, Inc. in Cupertino, California, is seeking a Platform Engineer for Privacy Preserving ML to build and scale privacy-preserving measurement and machine learning tools across products.

You will work with backend development, deploy data-intensive pipelines, and collaborate with cross-functional teams to maintain the highest privacy bar. The role emphasizes strong coding in Python/Swift/C++ and scalable infrastructure.