Machine Learning Scientist, Personalization Science

1 Month ago • All levels • Research Development • $143,100 PA - $264,200 PA

Job Summary

Job Description

We are seeking a world-class researcher to address challenging problems in personalization science using the latest advances in machine learning. This role involves developing novel solutions to enhance personalized experiences across the App Store, impacting a global audience. The responsibilities include developing and applying cutting-edge machine learning and artificial intelligence techniques for personalization, conducting human evaluations and rigorous experiments, deriving insights from experimentation, deploying production-quality code, contributing to scientific literature, and shaping the future of personalization across Apple's ecosystem. The role offers the opportunity to see your solutions deployed at Apple's global scale, contributing to personalized user experiences across the App Store.
Must have:
  • Develop and apply state-of-the-art machine learning.
  • Conduct human evaluation and rigorous experiments.
  • Ship production quality code.

Job Details

We are looking for a world-class researcher to help us solve challenging problems in personalization science using the latest advances in machine learning. With your expertise, we want to develop novel solutions to power personalized experiences across the App Store that enrich the lives of our customers. You will have the incredible opportunity to see your solutions deployed at Apple’s truly incredible global scale. In this role, you will: - Develop and apply state of the scientific art in machine learning and artificial intelligence to personalization of user experiences. - Conduct human evaluation and rigorous experiments to test and improve your models. - Derive insights from experimentation and convert them into feature improvements. - Ship production quality code to deploy your models at global scale. - Contribute to the scientific literature through publications and participation in leading academic conferences. - Help chart the future growth of personalization across Apple's services ecosystem.

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