Machine Learning Engineer - News, Books, and Stocks Team
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Senior Machine Learning Engineer - News, Books, and Stocks Team
Culver City, California, United States · On-site
Mid level$11B raised
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Senior$11B raised
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Full-time
postgraduate degree
Posted 10d ago
~40 hrs/week
Responsibilities
The engineer will play a central role in delivering scalable services by applying machine learning to news, books, and stocks domains. Responsibilities include developing models for text extraction, search, ranking, and duplicate detection to enhance customer-facing products.
Requirements
Candidates must hold an MS or Ph.D. in Machine Learning, Computer Science, or a related field, or possess equivalent industry experience. Strong programming proficiency in Python or Java and experience with deep learning frameworks like PyTorch or TensorFlow are required.
Full job description
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.
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 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.
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
Offices: 1 Apple Park Way, Cupertino, California 95014, US
We’re a diverse collective of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it. This is where your work can make a difference in people’s lives. Including your own.
Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit apple.com/careers to learn more.
Offices: 1 Apple Park Way, Cupertino, California 95014, US