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 the domains of news, books, and stocks using machine learning techniques. The team values collaboration, respect, and an inclusive work environment, aiming to craft products that enhance user experience for millions of Apple customers. Candidates will have the opportunity to work on innovative solutions that leverage advanced machine learning methodologies.

• 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 a plus.
• Experience with text-centric AI/ML, including LLMs and document classification, is desirable.
• Experience delivering high-quality software at scale is beneficial.
• Experience designing user-facing machine learning features with interdisciplinary partners is advantageous.

• Play a central role in the delivery of scalable machine learning services.
• Utilize machine learning to tackle difficult problems in the news, books, and stocks domains.
• Craft upcoming products that will delight and encourage millions of Apple 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.