The AIML Multimodal Foundation Model Team is focused on developing next-generation intelligent agent technologies that integrate multimodal reasoning and visual understanding. This role involves designing new architectures for multimodal agents and building capabilities for planning and tool-use. Team members will collaborate with researchers and engineers to transition cutting-edge research into practical applications for Apple products. Candidates should have a strong background in machine learning and engineering skills to contribute to innovative features in Apple's AI-powered devices.

• PhD, MS or equivalent experience in a relevant field
• Experience in machine learning, deep learning, computer vision, or natural language processing
• Proficiency in one of the following programming languages: Python, Go, Java, or C++
• Excellent data analytical skills
• Good interpersonal skills and ability to work as a team player
• PhD preferred

• Develop state-of-the-art multimodal foundation models for Apple Intelligence
• Create various agent capabilities for multimodal LLMs, including visual tool use and multimodal web search
• Fine-tune and evaluate domain-specific foundation models for tasks in Apple's AI-powered products
• Conduct applied research to transition generative AI research into production-ready technologies
• Translate product requirements into modeling and engineering tasks

• 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.