Staff Machine Learning Engineer - News, Books, and Stocks Team

Austin, TX, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
On-site
Fitment

Dice Job Match Score™

🫥 Flibbertigibetting...

Job Details

Skills

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

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 distributed 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!

Description

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!

Minimum Qualifications

MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.

At least 5 years of experience shipping machine learning models in products.

Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.

Experience designing user-facing machine learning features with interdisciplinary partners.

Experience with recommender systems.

Experience with text-centric AI/ML (LLMs, document classification, search, etc.)

Experience delivering high quality software at scale.

Ability to communicate effectively and collaborate with partner teams.

Commitment to encouraging an open and inclusive work environment.

Preferred Qualifications

Experience in a technical leadership role.

Ph.D. in Machine Learning, Computer Science, or related field.
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: 3115feec37275cc57d91007dd43490e5
  • Posted 1 hour ago
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