Machine Learning Engineer - News, Books, and Stocks Team

Cupertino, CA, US • Posted 4 days ago • Updated 1 day ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Media
  • Privacy
  • Energy
  • Extraction
  • Named-Entity Recognition (NER)
  • Python
  • Java
  • Deep Learning
  • PyTorch
  • TensorFlow
  • Collaboration
  • Computer Science
  • NAT
  • Shipping
  • Artificial Intelligence
  • Machine Learning (ML)

Summary

In a time where the news and book media landscapes are changing by the day, Apple News and Apple Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning. Our lively and brilliant team consists of client and machine learning engineers who embody Apple's values. We inspire, teach, and otherwise enable each other to do the best work of our careers. Our team's outstanding retention rate speaks to our strong culture of respect for our teammates as both engineers and people. Would you like to work on such a team, solving hard problems in machine learning? Terrific! Please join us for the next generation of these apps!

Our team is seeking a high-energy and self-driven machine learning engineer who will play a central role in the delivery of scalable services. The team uses machine learning to tackle difficult and complicated problems in the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and much more! 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!

MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.\nAt least 2 years of experience shipping machine learning models in products.\nStrong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.\nAbility to communicate effectively and collaborate with partner teams.\nCommitment to encouraging an open and inclusive work environment.

Ph.D. in Machine Learning, Computer Science, or related field.\nAt least 5 years of experience shipping machine learning models in products.\nExperience with recommender systems.\nExperience with text-centric AI/ML (LLMs, document classification, search, etc.)\nExperience delivering high quality software at scale.\nExperience designing user-facing machine learning features with interdisciplinary partners.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: e8880943b7ac4510180c64b22e388787
  • Posted 4 days ago
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