The Machine Learning Research Engineer will join the Apple Services Engineering team to design and develop AI/ML solutions that enhance user experiences across various Apple platforms. This role emphasizes collaboration with designers and engineers to create secure, end-to-end solutions while upholding Apple's commitment to user privacy. The engineer will leverage expertise in Machine Learning, Natural Language Processing, and Generative AI to impact how users discover Apple Media content globally. The position requires a strong foundation in AI/ML concepts and a passion for driving technical advancements.

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Electrical Engineering, or a related technical field.
• 2+ years of professional experience in the field of Artificial Intelligence/Machine Learning (AI/ML).
• Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow.
• Industry experience in Generative AI, Agentic AI systems, or Natural Language Processing (NLP).
• Solid understanding of modern machine learning concepts, including Transformers and LLMs.
• Master's or PhD in a relevant technical field.
• 4+ years of professional AI/ML experience with a track record of shipping production models.
• Deep expertise in Search and Information Retrieval.

• Design and develop AI/ML solutions that power Apple services.
• Collaborate with cross-functional teams to build secure, end-to-end solutions.
• Drive technical advancement and influence product direction.
• Conduct data-driven analysis to evaluate and prioritize features.
• Ensure successful delivery of features, code, data, and models to production.
• Collaborate with researchers and engineers to maintain expected performance levels.
• Utilize modern AI paradigms and tools in project execution.

• 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.