Senior machine learning platform engineer, Evaluation & Privacy
Core
Design, build, and operate a platform enabling privacy-preserving machine learning training and evaluation across Apple's products and billions of devices.
Role type
Senior machine learning platform engineer (privacy & evaluation)
Builds
Private federated learning systems and distributed training/evaluation infrastructure for production ML
Domain
Consumer technology, privacy-preserving machine learning
Deliverable
production ML models
Required skills
distributed systems design, Python, Swift, background/autonomous system software development, system scalability, end-to-end system reasoning
Preferred skills
differential privacy, secure multi-party computation, private federated learning, PII redaction, ML model deployment
Technologies
Python, Swift, federated learning frameworks
Responsibilities
Design and operate privacy-preserving ML training and evaluation platforms; scale distributed infrastructure; partner with scientists to transition research prototypes to production; collaborate with product teams to adopt the platform
Seniority
Senior, hands-on IC