1 day ago
Responsibilities
- Set technical strategy and execution direction for Apple’s web-scale data acquisition platform.
- Design systems that crawl, store, and deliver exabytes of web content and images.
- Lead crawl strategy, prioritization, data-quality scoring, relevance decisions, and continuous improvement of acquisition policies.
- Shape scalable storage and compute architecture and downstream data-consumption patterns.
- Partner with crawl infrastructure, search indexing, AI research, and foundation-model teams.
- Advise senior leadership on architecture direction, technical risk, and resourcing.
- Mentor senior engineers and influence organization-level architecture decisions.
Requirements
- 12+ years of experience building and operating large-scale distributed systems, including petabyte- or exabyte-class storage, compute, or data pipelines.
- Production experience applying machine learning to data quality, ranking, relevance, or prioritization problems.
- A track record of setting technical direction across multiple teams as a senior technical lead.
- Experience partnering with ML or AI research teams to translate model needs into infrastructure and data requirements.
- Bachelor of Science in Computer Science required; M.S. or Ph.D. preferred.
- Experience with web crawling, search indexing, or large-scale content pipelines preferred.
- Familiarity with training-data pipelines for large language or foundation models preferred.
- Experience mentoring senior engineers and influencing organization-level architecture decisions preferred.
Categories
Data EngineeringML Engineering
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.