Machine Learning Engineer - News, Books, and Stocks Team
Job in
Cupertino, Santa Clara County, California, 95014, USA
Listed on 2026-08-12
Listing for:
Apple, Inc.
Full Time
position Listed on 2026-08-12
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
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.
Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, Tensor Flow, or similar.
Ability to communicate effectively and collaborate with partner teams.
Commitment to encouraging an open and inclusive work environment.
Preferred Qualifications
Ph.D. in Machine Learning, Computer Science, or related field.
At least 2 years of experience shipping machine learning models in products.
Experience with recommender systems.
Experience with text-centric AI/ML (LLMs, document classification, search, etc.)
Experience delivering high quality software at scale.
Experience designing user-facing machine learning features with interdisciplinary partners.
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