Summary
Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish.
Do you want to make Siri and Apple products smarter for our users? The Information Intelligence teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup.
As part of this group, you will work with one of the most exciting high performance computing environments, with petabytes of data, millions of queries per second, and have an opportunity to imagine and build products that delight our customers every single day.
Key Qualifications
Strong background in computer science: algorithms, data structures and system design
10+ year experience on large scale distributed system design, operation and optimization
Excellent skills in cross-team and cross-functional communication and collaboration
Excellent skills in navigating complex environment and making decisions
Excellent interpersonal skills able to work independently as well as in a team
Description
We design and build infrastructures to enable features that empower billions of Apple users. Our team processes trillions of links to find the best content to surface to users through search. We also analyze pages to extract critical features for indexing, ranking. We apply statistical analysis and machine learning technologies to improve link selection, freshness, retrieval rates, extraction quality, and many others. You’ll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data and incredible complexity.
Education & Experience
MS or PhD in Computer Science or related field
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