Privacy-First ML Platform Engineer

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

Job summary

Apple Inc. is seeking a Platform Engineer to advance privacy-preserving machine learning across its products. You will help build scalable backend systems and privacy-focused measurement tools, collaborating with teams across Apple.

The role emphasizes hands-on development, infrastructure as code, and solving complex data challenges, with opportunities to influence privacy standards and deploy data-intensive pipelines at scale.

Qualifications

• Bachelor’s degree or equivalent in CS or related field.
• Experience with differential privacy or related privacy tech.
• Experience architecting, deploying, and scaling data-intensive systems.
• Proficiency in Python, Swift, and C++.
• Experience building systems to orchestrate, automate, and harden data processing pipelines.
• Strong problem-solving skills and cross-team collaboration.

Responsibilities

• Collaborate with other engineers to design, develop, and deploy end-to-end measurement systems with high utility that meet Apple’s industry-leading privacy bar.
• Support, build, and maintain infrastructure as code and automation systems to accelerate product development and enable scaling Apple-wide.
• Operate independently to solve complex privacy-preserving ML problems.
• Contribute to the development of data collection, training, and evaluation of generative AI and ML systems while preserving user privacy.

Skills

Python

Swift

C++

Education

Bachelor's degree in Computer Science or related field

Job description

Apple Inc. is seeking a Platform Engineer to advance privacy-preserving machine learning across its products. You will help build scalable backend systems and privacy-focused measurement tools, collaborating with teams across Apple.

The role emphasizes hands-on development, infrastructure as code, and solving complex data challenges, with opportunities to influence privacy standards and deploy data-intensive pipelines at scale.