3 days ago
Responsibilities
- Develop machine learning algorithms and production-quality code for next-generation ad matching and retrieval systems.
- Own the ideation, development, testing, and productization of retrieval capabilities end to end.
- Design and conduct complex large-scale and online experiments to measure business and product impact.
- Apply research concepts and contribute to state-of-the-art advances in advertising retrieval, NLP, and search.
- Collaborate with product management, business leadership, research, and cross-functional partners to define roadmaps and deliver robust capabilities.
- Present findings and technical outcomes across the organization while adhering to Apple’s privacy principles.
Requirements
- 7+ years of experience building machine learning capabilities across multiple product areas at scale.
- Proven experience in NLP, information retrieval, and search.
- Ability to implement research concepts in production-quality code.
- Experience defining clear, testable research hypotheses and intended business impact.
- Deep understanding of experiment design and online experimentation, preferably at scale.
- Experience contributing to or reviewing research for top conferences and publications.
- Master’s degree or equivalent experience in NLP, machine learning, statistics, forecasting, optimization, reinforcement learning, or a related field, plus experience building production systems or working on large industry data science or machine learning projects.
- Preferred: PhD or equivalent experience in NLP, machine learning, deep learning, large language models, reinforcement learning, or a related field, with production systems or large industry machine learning project experience.
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.
