12 hours ago
Responsibilities
- Build and improve machine learning features and services powering Apple Music personalization.
- Design and operate highly scalable recommendation systems and customer-facing recommendation services.
- Develop large-scale offline data pipelines, machine-learned model training and inference systems, and real-time online services.
- Collaborate with Product and researchers to improve recommendation algorithms.
- Own the full lifecycle of systems, including design, implementation, optimization, and continuous improvement.
Requirements
- Hands-on experience crafting highly scalable recommendation systems.
- Understanding of concurrency, algorithms, and object-oriented programming.
- Ability to engineer modern ML-driven systems that support fast iteration cycles.
- Effective collaboration with researchers to improve recommendation algorithms.
- Extensive experience with object-oriented languages such as Java, C++, and Python.
- Ability to engineer ML-driven pipelines, APIs, and services at scale.
Benefits
- Work with a friendly, international, cross-functional team within Apple Services Engineering.
- Collaborate on global-scale Apple Music personalization services in a London-based team.
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.