Siri - Machine Learning Engineer, Search Relevance

Santa Clara Valley (Cupertino), California, United States
Machine Learning and AI

Summary

Posted:
Weekly Hours: 40
Role Number:200092236
The Siri Search Relevance team is building groundbreaking technology for artificial intelligence, machine learning and natural language processing. 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 be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of Siri Search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, 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.

Key Qualifications

  • You have 3+ years of experience in machine learning, deep learning, information retrieval, natural language processing or data mining
  • Deep understanding of two of following languages: Go, Java, C++, Python
  • You have a strong background in computer science: algorithms, data structures, operating systems
  • You have excellent knowledge and good practical skills in major machine learning algorithms
  • You're experienced with Hadoop, Hive, and/or Impala is a plus
  • Excellent interpersonal skills; able to work independently as well as in a team

Description

As a member of our dynamic group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning experience and proven engineering skills in building outstanding search service. This role will have the following responsibilities: Analyzing search ranking and relevance requirements, issues and opportunities Understanding product requirements, translate them into modeling tasks and engineering tasks Analyzing user query logs and generate useful query understanding and search ranking signals Deploying machine learned models for search relevance, ranking and query understanding problems Building end-to-end production system including query understanding and ranking to power search Utilizing Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing

Education & Experience

MS or Ph.D in Computer Science, Computer Engineering, Machine Learning or related field, or meaningful and equivalent work experience

Additional Requirements