The team at Apple News and Apple Books is looking for a high-energy and self-driven machine learning engineer to join their dynamic group. This role focuses on delivering scalable services using machine learning to solve complex problems in the news, books, and stocks domains. The team values quality content, expert curation, and user privacy while fostering a culture of respect and collaboration. As a member of this team, you will have the opportunity to craft innovative products that will delight millions of Apple customers.

• MS in Machine Learning, Computer Science, or a related field, or equivalent industry experience.
• At least 5 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.
• Experience designing user-facing machine learning features.
• Experience with recommender systems.
• Experience with text-centric AI/ML including LLMs and document classification.
• Experience delivering high quality software at scale.
• Ability to communicate effectively and collaborate with partner teams.
• Commitment to encouraging an open and inclusive work environment.
• Experience in a technical leadership role.

• Play a central role in the delivery of scalable machine learning services.
• Use machine learning to tackle difficult problems in various domains.
• Collaborate with interdisciplinary partners to design user-facing features.
• Craft upcoming products that enhance user experience for Apple customers.

• 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.