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Home›Jobs›Apple›Machine Learning Engineer, News Team
Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA⭐ 4.2
B2CB2BHardwareSaaSTelecommunicationseCommerce

Key Highlights

  • Market cap of $3 trillion as of 2022
  • Over 1 billion active devices worldwide
  • Comprehensive medical plans including mental healthcare
  • Paid parental leave and gradual return-to-work program

Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...

🎁 Benefits

Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...

🌟 Culture

Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

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Apple

Machine Learning Engineer, News Team

Apple • Cupertino, California, United States

Posted 1 month ago🏛️ On-SiteMid-LevelMachine learning engineer📍 Cupertino
Apply Now →

Job Description

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. Join us to improve the lives of millions of users, and you will: - Design and implement state-of-the-art machine learning models that process text, personalize feeds, and make the impossible possible. - Collect model training data, design model architecture, and train custom or fine tuned models or adapters suited for application features. - Partner with cross-functional teams at the intersection of technology and liberal arts to design and implement end-to-end machine learning enabled features. - Drive application features from concept, model design, development and all the way to delivery. - Join a thriving machine learning community at Apple.

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. Committed to encouraging an open and inclusive work environment.

Preferred Qualifications

Ph.D. in Machine Learning, Computer Science, or related field 5 years of experience shipping machine learning models in products Experience with personalized ranking and scoring is a plus Experience with text data and NLP tasks is a plus Experience delivering high quality software at scale is a plus Experience designing user-facing machine learning features with interdisciplinary partners is a plus

Eeo Content

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.

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