Job Details

Weekly Hours: 40

Role Number: 200629989-0836

Summary

At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly! Bring passion and dedication to your job and there's no telling what you could accomplish. Does an engaged, user-focused, and high impact environment catch your attention? Do you like puzzles and determining solutions that are not obvious? Terrific! Consider joining us.

Description

Our Apple News 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 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.

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 personalized ranking and scoring.

• Experience with text data and NLP tasks, including use of LLMs.

• Experience delivering high quality software at scale.

• Ability to communicate effectively and collaborate with partner teams.

• Committed to encouraging an open and inclusive work environment.

Preferred Qualifications

• .

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) .