Machine Learning Scientist – News


Job Overview

Key Qualifications

  • Strong software development practices
  • Strong Java and Python experience
  • Strong background in Algorithms and Machine Learning
  • Strong background in Deep Learning, Information Retrieval, or NLP
  • Experience with Scala or Clojure is a plus
  • Experience with Weka or scikit-learn is a plus
  • Experience with text-related tasks such as named entity labeling, topic classification, clustering, and indexing
  • Experience processing large-scale data sets using Mesos, Spark, or Hadoop
  • Description

    Apple’s News team is seeking a high-energy and self-driven Machine Learning Scientist who will play a central role in the delivery of scalable services. The team uses Machine Learning to tackle complicated problems in the News domain, including text extraction, named entity recognition, duplicate detection, search and ranking. As a member of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming products that will delight and encourage millions of Apple’s customers every day. Responsibilities: We’re looking for smart and creative engineers and scientists with a deep background in computer science, especially machine learning, information retrieval, and scalable distributed computing. Your passion for cutting edge technologies will be critical to your project and a key component to our team of best-in-class engineers and designers who are driven to build the next big thing. Join us to improve the lives of millions of users, and you will: – Design and implement production algorithms that process text and other data, and make the impossible possible – Prototype ideas and see them through to fruition- Communicate advances and ideas to a focused team – Develop innovative tools and metrics that change the way we look at problems- Join a thriving Machine Learning community at Apple

    Education & Experience

    Ph.D. in computer science, mathematics, electrical engineering, physics or related technical field.

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