AIML - Sr. Machine Learning Engineer, Siri Search Quality - Siri & Information Intelligence
Apply NowCompany: Apple
Location: Santa Clara, CA 95051
Description:
Summary
The Siri Search Quality 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 Apple 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 different sources to provide the user with results that best satisfies their intent and information seeking needs.
Description
As a member of our fast-paced group, you'll have the unique and great opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning experience and solid engineering skills in creating outstanding search service. This role will have the following responsibilities:
- Analyzing search answer quality issues and opportunities
- Understanding product requirements, translate them into modeling tasks and engineering tasks
- Building machine learned models for search relevance, query understanding problems
- Using LLM and embedding techniques to improve search quality
- Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
- Building end-to-end production system including query understanding and ranking to power search
The Siri Search Quality 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 Apple 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 different sources to provide the user with results that best satisfies their intent and information seeking needs.
Description
As a member of our fast-paced group, you'll have the unique and great opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning experience and solid engineering skills in creating outstanding search service. This role will have the following responsibilities:
- Analyzing search answer quality issues and opportunities
- Understanding product requirements, translate them into modeling tasks and engineering tasks
- Building machine learned models for search relevance, query understanding problems
- Using LLM and embedding techniques to improve search quality
- Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
- Building end-to-end production system including query understanding and ranking to power search