24 days old

AI/ML - Performance Engineer, Information Intelligence

Apple, Inc.

Cupertino, CA 95014

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Job Code

200220578

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Summary

Posted: Feb 2, 2021

Role Number:200220578

Do you want to make Siri and Apple products smarter for our users? The Siri Search & Knowledge teams are building groundbreaking te...Summary

Summary

Posted: Feb 2, 2021

Role Number:200220578

Do you want to make Siri and Apple products smarter for our users? The Siri Search & Knowledge 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. 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.

Key Qualifications

Strong coding skills in Go, C/C++, Java, or Scala
Strong background in computer science: algorithms and data structures
Experience with backend development, code performance tuning and testing
Experience with cluster services (AWS S3 EC2 EKS / GCP / Kubernetes)
Experience with cluster setup / management, monitoring and logging is a plus
Excellent interpersonal skills; able to work independently as well as in a team
Experience with Information Retrieval, Large Scale Data-Mining and/or Machine Learning are a plus

Description

We design and build infrastructure to support features empowering billions of Siri users. Our team focuses on optimizing the end-to-end search stack. We are building groundbreaking technology to serve many domains at Apple, such as Web, Web Answers, Web Images, News, Maps, Knowledge. We work on areas such as high performance computing, performance tuning and testing, cloud cluster scaling and cost optimization, full stack end-to-end testing, onboarding new Apple domains, powering high QPS with efficient resource utilization. The team has a tight-knit collaboration with SW developers, QA and Ops.

Education & Experience

MS or Ph.D. in Computer Science, Machine Learning or related field

Additional Requirements

Posted: 2021-02-03 Expires: 2021-03-05

Apple, Inc.

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