The team at Apple News and Apple Books is looking for a high-energy and self-driven machine learning engineer to deliver scalable services. This role involves solving complex problems in the domains of news, books, and stocks using machine learning techniques. The team values collaboration, respect, and an inclusive work environment, aiming to craft products that enhance user experience for millions of customers. Candidates will have the opportunity to work with a dynamic group of engineers committed to quality content and expert curation.

• MS in Machine Learning, Computer Science, or a related field, or equivalent industry experience.
• At least 2 years of experience shipping machine learning models in products.
• Strong programming skills in Python, Java, or a related language.
• Experience with deep learning toolkits such as PyTorch or TensorFlow.
• Ability to communicate effectively and collaborate with partner teams.
• Commitment to encouraging an open and inclusive work environment.
• Ph.D. in Machine Learning, Computer Science, or a related field is a plus.
• At least 5 years of experience shipping machine learning models in products is preferred.
• Experience with recommender systems is a plus.
• Experience with text-centric AI/ML such as LLMs and document classification is desirable.
• Experience delivering high quality software at scale is preferred.
• Experience designing user-facing machine learning features with interdisciplinary partners is a plus.

• Play a central role in the delivery of scalable machine learning services.
• Use machine learning to tackle difficult problems in the news, books, and stocks domains.
• Craft upcoming products that will delight and encourage millions of Apple’s customers.
• Collaborate with partner teams to ensure effective communication and project success.
• Encourage an open and inclusive work environment within the team.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.