The role is focused on developing and exploring capabilities of foundation models and agentic AI systems within the Human Intelligence team at Apple. This team is dedicated to advancing the state of the art in Computer Vision and Machine Learning, particularly in multimodal LLMs. Candidates will engage in cutting-edge research and engineering, collaborating across teams to shape the technical direction of these systems. The position offers the opportunity to influence future Apple products through innovative research and product development.

• Master's or equivalent practical experience in Computer Science, Computer Vision, Machine Learning, or a related technical field.
• 3+ years of relevant academic or industry experience in Machine Learning, Computer Vision, or Artificial Intelligence.
• Experience in deep learning with demonstrated work in multimodal systems.
• Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.
• Experience with foundation models, including training, fine-tuning, and deployment.
• Strong foundations in optimization, probability, and linear algebra as applied to machine learning and computer vision.
• PhD or equivalent practical experience in a related technical field with a focus on AI, machine learning, or computer vision.
• Demonstrated expertise in developing, training, and fine-tuning multimodal LLMs at scale.

• Develop and explore capabilities of foundation models and agentic AI systems.
• Lead and contribute to the research roadmap for multimodal foundation models.
• Design and implement agentic systems and large-scale simulation frameworks.
• Collaborate across teams to shape the technical direction of multimodal and agentic AI systems.
• Identify key opportunities for innovation in agentic AI and reasoning capabilities.
• Transition research prototypes to production-grade technologies.

• 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.