11 hours ago
Responsibilities
- Develop and launch on-device machine learning technologies for fraud prevention across Apple devices, Apple Pay, and Apple Wallet.
- Build models that operate in real time and in the background within model-size, memory, and inference-budget constraints.
- Apply classification, clustering, anomaly detection, and other machine learning methods to anticipate fraud patterns.
- Process and analyze data at scale using distributed data and compute frameworks.
- Collaborate with engineering, security, program management, and business partners to deliver machine learning systems.
- Own a problem area, develop system-wide context, communicate analytical results, and justify recommendations with evidence.
Requirements
- Experience with machine learning methods such as classification, clustering, and anomaly detection.
- Strong programming skills in one or more of Python, Scala, or Java.
- Experience processing and analyzing data at scale with distributed data or compute frameworks.
- Ability to communicate analytical results clearly and succinctly to varied audiences.
- Experience delivering results on ambiguous, loosely defined problems while collaborating with others.
- Rigorous analytical thinking and the ability to question assumptions, reason through problems, and support recommendations with evidence.
- Preferred: experience with resource-constrained or real-time machine learning deployment, including on-device deployment, model compression, or inference optimization.
- Preferred: experience with Spark, Ray, or Daft.
- Preferred: familiarity with privacy-preserving machine learning, fraud detection, risk modeling, security-focused machine learning, or iOS development.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.