The team is seeking a high-energy and self-driven machine learning engineer to deliver scalable services in the Apple News and Apple Books domains. This role involves tackling complex problems using machine learning techniques such as text extraction and named entity recognition. The engineer will work within a dynamic team that values collaboration and respect, contributing to products that enhance user experience for millions of customers. Candidates will have the opportunity to craft innovative solutions in a supportive environment.

• 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 preferred.
• At least 5 years of experience shipping machine learning models in products is preferred.
• Experience with recommender systems is preferred.
• Experience with text-centric AI/ML such as LLMs and document classification is preferred.
• Experience delivering high quality software at scale is preferred.
• Experience designing user-facing machine learning features with interdisciplinary partners is preferred.

• Play a central role in the delivery of scalable services using machine learning.
• Tackle difficult and complicated problems in the news, books, and stocks domains.
• Craft upcoming products that will delight and encourage millions of Apple’s customers.
• Collaborate with team members and partner teams to enhance product features.
• 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.