Machine Learning Engineer
Core
Build end-to-end analytical solutions using predictive modeling and statistical analyses to improve security, fraud prevention, and operational efficiency across Apple's business operations.
Role type
Senior IC machine learning engineer (fraud & security)
Builds
Production real-time and batch decisioning solutions for security and fraud prevention
Domain
Technology / Financial Services (Fraud Prevention)
Deliverable
production ML models
Required skills
Predictive modeling, statistical analysis, classification algorithms, regression, clustering, anomaly detection, SQL, distributed systems (Hadoop, Spark), Python/Scala/Java, data pipeline implementation
Preferred skills
Complex system integration debugging, business insight extraction, LLM architecture experience, novel feature engineering
Responsibilities
Engage with business teams to translate requirements into technical solutions, design data science approaches, collaborate on implementing robust decisioning solutions, monitor production decision points, investigate adversarial trends and behavior patterns, communicate analysis results to executives
