Senior Platform Engineer, Privacy Preserving ML
Core
Building privacy-preserving measurement and machine learning tools and infrastructure for Apple products.
Role type
Senior Platform Engineer (Privacy Preserving ML)
Builds
End-to-end measurement systems, data processing pipelines, and privacy-preserving ML infrastructure.
Domain
Consumer technology, Privacy-preserving Machine Learning
Deliverable
production ML models
Required skills
Backend development, Data-intensive system architecture, Python, Swift, C++, Data pipeline orchestration, Automation systems
Preferred skills
Differential privacy, Secure multi-party computation, Private federated learning, PII redaction, DevOps/GitOps, Kubernetes, Statistical techniques for A/B testing, Compliance and security protocols
Technologies
Python, Swift, C++, Kubernetes, CI/CD
Responsibilities
Design, develop, and deploy end-to-end measurement systems meeting privacy standards; Build and maintain infrastructure as code and automation systems; Solve complex problems at the intersection of privacy and ML; Contribute to data collection, training, and evaluation of generative AI and ML systems.
Seniority
Senior, hands-on IC