Senior ML Researcher - App Store Search Ranking - AMP AI/ML

Santa Clara Valley (Cupertino), California, United States
Software and Services


Weekly Hours: 40
Role Number:200352633
Did you know the Apple Media Products (AMP) Engineering team is one of the most exciting examples of Apple’s long-held passion for combining art and technology? We are the people who power Search for the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And we do it on an extensive scale, meeting Apple’s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries! Thanks to Apple’s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple’s privacy policy, one of Apple’s core values. Although services are a bigger part of Apple’s business than ever before, these teams remain small, flexible, and multi-functional, offering greater exposure to the array of opportunities here!

Key Qualifications

  • Deep understanding of the search and information retrieval fundamentals including indexing, query understanding, retrieval and ranking
  • Experience working with search relevance and ranking algorithms.
  • Experience in training large-scale machine-learning models for online search, recommendation, ads ranking, or personalization etc.
  • Experience in deep learning
  • Technical leadership in machine learning.
  • Ability to work independently and in a team to research innovative solutions to challenging business problems.
  • Experience working with real-world data sets and building scalable models from big data.
  • Experience with Spark, Hadoop or other distributed frameworks
  • Effective verbal and written communication skills with non-technical and technical audiences.
  • Strong fundamentals in problem solving, algorithm design and complexity analysis


As a machine learning applied researcher on the App Store Search Relevance team, you will have many responsibilities. On this team we research and innovate machine learning approaches to improve search relevance and ranking, and we analyze search ranking and relevance requirements, issues and opportunities. We build machine learning models for search relevance, ranking and query understanding problems. We perform hands-on analysis and modeling with enormous data sets to develop insights and run A/B experiments that affect hundreds of millions of customers, evaluate the impact of our optimizations, and communicate your results to various business stakeholders. Applied researchers collaborate with engineers to constantly test customer facing changes to our underlying algorithms and models.

Education & Experience

MS or Ph.D in Computer Science, Artificial Intelligence, Machine Learning, Data Science or related field Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit to learn more. If you do not consent to Apple storing your information in our system for Recruiting purposes, please reply to this email requesting deletion. For more information on Apple’s privacy policy please visit

Additional Requirements