The team at Apple News and Apple Books is looking for a high-energy and self-driven machine learning engineer to tackle complex problems in the news, books, and stocks domains. This role involves working with a dynamic group of engineers who value quality content and user privacy while leveraging machine learning technologies. The engineer will have the opportunity to craft innovative products that will impact millions of users. A strong culture of respect and collaboration is emphasized within the team.

• 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 with interdisciplinary partners.
• 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 solve difficult problems in various domains.
• Craft upcoming products that will delight and encourage millions of customers.
• Collaborate with team members to inspire and enable each other.
• Design and implement user-facing machine learning features.

• 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.