AIML - Staff Machine Learning Engineer, Siri Search Quality

9 Hours ago • All levels

Job Summary

Job Description

The Siri Search Ranking team is developing cutting-edge technology in artificial intelligence, machine learning, and natural language processing. The features created by the team are redefining how hundreds of millions of people use their computers and mobile devices for search and information retrieval. The team's universal search engine powers search features across various Apple products, including Siri, Spotlight, Safari, Messages, and Lookup. This role involves large-scale machine learning and deep learning to enhance Query Understanding, Retrieval, Ranking, and Answer Generation of Siri Search. It also involves developing fundamental building blocks needed for Artificial Intelligence. This includes developing sophisticated machine learning models, using LLMs, embeddings, and deep learning to build end-to-end production systems, including query understanding, ranking, and LLM-powered search for Q&A. The role leverages petabytes of data and signals from millions of users, combining information from multiple sources to provide users with the most relevant results.

Job Details

The Siri Search Ranking team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create 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 be doing large scale machine learning and deep learning to improve Query Understanding, Retrieval, Ranking and Answer Generation of Siri Search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using LLM, embeddings and deep learning to build end-to-end production system including query understanding , ranking, LLM powered Search for Q&A, taking advantage of petabytes of data and signals from millions of users and combining information from multiple sources to provide the user with results that best satisfies their intent and information seeking needs

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