Do you want to make Apple products more intelligent for our users? The AIML Information Intelligence teams are building groundbreaking technology for algorithmic search and recommendation, machine learning, natural language processing, and artificial intelligence.\\n\\nThe 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. Apple's universal search engine powers search features across a variety of its products, including Siri, Spotlight, Safari, Music, App Store, Video, and many more.\\n\\nWe are searching for a Principal Backend Infrastructure Engineer to define and drive the long-term technical strategy for our scalable, highly available, and robust search platforms. Build, evolve, and scale state-of-the-art infrastructure powering Apple's Search Platforms. Be a key technical leader contributing to the design, development, and operation of large-scale distributed systems. Work with machine learning researchers, backend engineers, and cross-functional teams to deliver step-function improvements in reliability, performance, and cost.
We design and build infrastructures to support features that empower billions of Apple search 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 and ranking. We apply statistical analysis to improve crawling, extraction quality, web and knowledge graph data, link selection, freshness, retrieval performance, and many others. You'll have the opportunity to work with large-scale systems with trillions of rows, many petabytes of data, and real-time data pipelines with incredible complexity.
10+ years of experience leading and driving complex, ambiguous projects at company-wide scope\nDeep expertise in large-scale search and indexing systems, including hybrid lexical-semantic retrieval\nStrong background in distributed systems: highly available, low-latency, multi-region architectures\nExperience with AI and agentic systems, including knowledge platforms and retrieval-augmented generation (RAG)\nStrong coding skills and background in algorithms and data structures\nExperience with backend development, performance tuning, and testing\nBS, MS, or Ph.D. in Computer Science or a related field
Experience with cloud services, Kubernetes, and cloud-native architectures\nExperience with real-time data and streaming platforms (Kafka, Flink, Pinot or equivalent)\nExperience with observability platforms including metrics, logging, and AI-assisted diagnostics\nTrack record of driving reliability programs and reducing production incidents at scale\nOpen-source leadership or community contributions in search, data, or infrastructure ecosystems\nExcellent interpersonal skills; able to work independently as well as influence across large organizations
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- Dice Id: 90733111
- Position Id: 50c93c527a52a23b07553b94ec92bdf3
- Posted 2 days ago
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