Job Details

Weekly Hours: 40

Role Number: 200647366-0836

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!

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 2 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.

• 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 5 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .