Machine Learning Engineer, Wallet Intelligence and Machine Learning
Core
Build on-device machine learning models to detect fraud and protect user accounts for Apple Pay and Apple Wallet without sacrificing privacy or device performance.
Role type
Senior IC machine learning engineer (on-device fraud detection)
Builds
On-device ML models for fraud prevention and risk assessment
Domain
Fintech / Mobile Security / Privacy-preserving ML
Deliverable
production ML models
Required skills
classification, clustering, anomaly detection, Python, Scala, Java, distributed data processing, model development, feature engineering, real-time inference optimization
Preferred skills
model compression, inference budget optimization, Spark, Ray, Daft, privacy-preserving ML techniques, iOS development, fraud detection background
Technologies
Python, Scala, Java, Spark, Ray, Daft
Responsibilities
Translate security needs into ML solutions from problem framing to reporting; design models balancing accuracy against latency and on-device constraints; build system-wide understanding of the fraud-risk journey; uphold high standards for user privacy; partner across engineering, security, and business teams to define problems and align on solutions.
Seniority
Senior, hands-on IC
