Staff Machine Learning Engineer - News, Books, and Stocks Team
Apple
1 day ago
Full-time
On-site
Austin, Texas, United States
AI and Machine Learning
In a time where the news and book media landscapes are changing by the day, Apple News and\\nApple Books stand as champions of quality content, expert curation, user privacy, and the\\njudicious use of machine learning.\\n\\nOur lively and brilliant team consists of client and machine learning engineers who embody\\nApple"s values. We inspire, teach, and otherwise enable each other to do the best work of our\\ncareers.\\n\\nOur team"s outstanding retention rate speaks to our strong culture of respect for our teammates\\nas both engineers and people.\\n\\nWould you like to work on such a team, solving hard problems in machine learning? Terrific!\\nPlease join us for the next generation of these apps!
Our team is seeking a high-energy and self-driven machine learning engineer who will play a\\ncentral role in the delivery of scalable services. The team uses machine learning to tackle\\ndifficult and complicated problems in the news, books, and stocks domains, including text\\nextraction, named entity recognition, duplicate detection, search, ranking, and much more! As a\\nmember of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming\\nproducts that will delight and encourage millions of Apple’s customers every day!
Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features.\\nDevelop datasets, design model architecture, and prompt, train, or fine-tune models.\\nPartner with multi-functional teams at the intersection of technology and liberal arts to design and implement end-to-end machine learning enabled features.\\nDrive application features from concept, model design, and development all the way to delivery.\\nLead highly cross-functional software projects.\\nMentor junior engineers.\\nBe part of our thriving machine learning community at Apple.
MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.\\nAt least 5 years of experience shipping machine learning models in products.\\nStrong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.\\nExperience designing user-facing machine learning features with interdisciplinary partners.\\nExperience with recommender systems.\\nExperience with text-centric AI/ML (LLMs, document classification, search, etc.)\\nExperience delivering high quality software at scale.\\nAbility to communicate effectively and collaborate with partner teams.\\nCommitment to encouraging an open and inclusive work environment.
Experience in a technical leadership role.
Our team is seeking a high-energy and self-driven machine learning engineer who will play a\\ncentral role in the delivery of scalable services. The team uses machine learning to tackle\\ndifficult and complicated problems in the news, books, and stocks domains, including text\\nextraction, named entity recognition, duplicate detection, search, ranking, and much more! As a\\nmember of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming\\nproducts that will delight and encourage millions of Apple’s customers every day!
Design and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features.\\nDevelop datasets, design model architecture, and prompt, train, or fine-tune models.\\nPartner with multi-functional teams at the intersection of technology and liberal arts to design and implement end-to-end machine learning enabled features.\\nDrive application features from concept, model design, and development all the way to delivery.\\nLead highly cross-functional software projects.\\nMentor junior engineers.\\nBe part of our thriving machine learning community at Apple.
MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.\\nAt least 5 years of experience shipping machine learning models in products.\\nStrong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.\\nExperience designing user-facing machine learning features with interdisciplinary partners.\\nExperience with recommender systems.\\nExperience with text-centric AI/ML (LLMs, document classification, search, etc.)\\nExperience delivering high quality software at scale.\\nAbility to communicate effectively and collaborate with partner teams.\\nCommitment to encouraging an open and inclusive work environment.
Experience in a technical leadership role.