We design and build infrastructures to support features that empowers billions of Siri users. Our team processes tens of 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 to improve link selection freshness retrieval rates extraction quality and many others. Youll have the opportunity to work with large scale systems with trillions of rows and many petabytes of data and incredible particular you will work at the intersection between quality and performance applying machine learning techniques to improve the search relevance inside the constraints that come with a high throughput index serving infrastructure.
Strong background in ML with excellent knowledge and good practical skills in major machine learning algorithm
Industry experience coding skills with at least one of the following programming languages: Go Java Python Scala C/C Rust
Established experience in algorithms and data structures
Good interpersonal skills is required; able to work independently as well as in a team
Experience with information retrieval RAG ML applied to search or ads
Excellent data analytical skills
Exposure to the challenges of scalable backend infrastructure and performance and how to diagnose analyse and resolve them with knowledge of profiling debugging tracing tools
Proficiency with distributed computing platform and technologies such as AWS GCP Kubernetes MapReduce or similar
Experience designing and implementing large scale data pipelines
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