Senior Platform Engineer: Privacy-Preserving ML at Scale

Apple Inc.; Seattle (WA); Hybrid; USD 175,000 - 309,000; Full time

Benefits offered by this job

Employee stock purchase plan

Medical and dental coverage

Education reimbursement

Job summary

Apple Inc. in Seattle, Washington, is seeking an experienced Senior Platform Engineer to help build privacy-preserving measurement and machine learning infrastructure across Apple products. You will collaborate with cross-functional teams to scale data-intensive systems while upholding Apple’s strict privacy standards.

The role emphasizes backend deployment, infrastructure as code, and collaboration with AI teams to advance privacy-first ML capabilities across platforms.

Qualifications

• Minimum 2+ years of industry experience with a Bachelor’s degree or equivalent in Computer Science or related field.
• Experience architecting, deploying, and scaling data-intensive systems.
• Proficiency in Python, Swift, and/or C++ for SW development.
• Experience building systems to orchestrate, automate, and harden data processing pipelines.
• Strong problem-solving skills and ability to collaborate across teams.

Responsibilities

• Collaborate with engineers to design, develop, and deploy end-to-end measurement systems with high privacy standards.
• Support, build, and maintain infrastructure as code and automation to scale products across Apple.
• Operate independently to solve complex privacy-preserving ML problems.
• Contribute to data collection, training, and evaluation for generative AI while preserving user privacy.

Skills

Python

Swift

C++

Data pipelines

Problem solving

Collaboration

Education

Bachelor's degree in Computer Science or related field

Master's degree or PhD in CS/Software Engineering or related field

Tools

Kubernetes

CI/CD

DevOps/GitOps

Automation

Job description

Apple Inc. in Seattle, Washington, is seeking an experienced Senior Platform Engineer to help build privacy-preserving measurement and machine learning infrastructure across Apple products. You will collaborate with cross-functional teams to scale data-intensive systems while upholding Apple’s strict privacy standards.

The role emphasizes backend deployment, infrastructure as code, and collaboration with AI teams to advance privacy-first ML capabilities across platforms.