The Video Computer Vision organization at Apple is seeking a Multimodal AI Researcher to develop foundation models for generative AI and multimodal systems. This role involves integrating real-time sensor data, such as video and audio, with other modalities like text. The team focuses on pushing the boundaries of AI and machine learning technologies that impact millions of users. The successful candidate will collaborate with experts in various fields to address fundamental challenges in human-centric solutions.

• BS and a minimum of 3 years relevant industry experience.
• Experience building models for multimodal perception systems.
• Experience working with LLMs and VLMs.
• Proficiency in Python and PyTorch.
• MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.
• Experience in developing, training/tuning foundation models and multimodal LLMs.
• Experience with training and troubleshooting generative architectures such as diffusion, reinforcement learning, flow matching or normalizing flow at scale.
• Experience with real-time or streaming multimodal models.
• Experience with speech understanding and generation.
• Experience applying reinforcement learning to help post-train foundation models.
• Excellent communication and experience working with multi-functional teams.
• Self-motivated with a proven track record to optimally prioritize and deliver tasks on schedule.

• Collaborate with experts in AI, ML, Software, and Hardware to tackle fundamental challenges.
• Drive data requirements, validation strategies, and key performance indicators.
• Conduct algorithm research and development that serves product needs.
• Work on hard, open research problems in multimodal generative AI and agents.
• Stay up-to-date with the latest advancements in multimodal foundation models.
• Apply knowledge to drive innovation and improve the quality of solutions.

• 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.