The role is for a high-energy and self-driven machine learning engineer who will be integral to delivering scalable services within the Apple News and Apple Books teams. This dynamic group focuses on solving complex problems in machine learning, particularly in the domains of news, books, and stocks. The team values collaboration, respect, and a strong culture, aiming to craft products that enhance user experience for millions of Apple customers. Candidates will have the opportunity to work on innovative features and contribute to the future of these applications.

• 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.
• Tackle difficult and complicated problems in the news, books, and stocks domains.
• Craft upcoming products that will delight and encourage millions of Apple 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.