About The Position

Imagine what you could do here. At Apple, great ideas quickly become extraordinary user experiences. Take on big challenges that create a positive impact for billions of people Are you passionate about building sophisticated product experiences with a world-class engineering and design team? Do you want to make Siri and Apple products smarter for our users? The Machine Learning Platform u0026 Infrastructure teams are building groundbreaking technology for algorithmic search, machine learning, natural language processing, and artificial intelligence. The features we build are redefining how people use their computers and mobile devices to search and find what they are looking for. Siri's 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.We are responsible for Search infrastructure engineering at Apple's AIML Team. We design and build infrastructure to support features that empower billions of Spotlight and Siri users. We own our pipelines and services, from conception, to design, to implementation, to deployment, to operations. As a result, each one of us takes our responsibilities seriously, while having a lot of fun building the best services at scale we can. We have numerous latency sensitive services, jobs and pipelines that solve problems within Search infrastructure engineering. Join this team, and you'll have the opportunity to work with large scale systems with trillions of rows!

Requirements

  • Experience with search infrastructure
  • Experience with cluster setup / management, monitoring and logging
  • Excellent interpersonal skills able to work independently as well as in a teamArray

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Computer and Electronic Product Manufacturing

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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