The team at Apple News and Apple Books is looking for a high-energy and self-driven machine learning engineer to contribute to the development of scalable services. This role involves tackling 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 create products that delight millions of customers. Candidates will have the opportunity to work alongside talented engineers and contribute to innovative solutions.

• 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 desirable.
• Experience with text-centric AI/ML, including LLMs and document classification.

• Play a central role in the delivery of scalable machine learning services.
• Use machine learning to solve difficult problems in news, books, and stocks.
• Craft upcoming products that will enhance user experience for Apple customers.
• Collaborate with interdisciplinary partners to design user-facing machine learning features.
• Deliver high-quality software at scale.

• 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.