This role involves working as part of a team of computer vision and machine learning engineers focused on developing real-time perception systems and human understanding technologies for Apple products. The team is responsible for creating algorithms and systems that enhance natural human-computer interaction through advanced computer vision techniques. The position requires expertise in deep learning and a strong foundation in computer vision to contribute to innovative solutions that will impact millions of users. You will have the opportunity to shape the future of Apple's product offerings.

• Master's or equivalent practical experience in Computer Science, Computer Vision, Machine Learning, or a related technical field.
• Experience in deep learning with demonstrated work in at least one area of multimodal systems.
• Proficiency in Python and in a modern deep learning framework such as PyTorch or JAX.
• Strong mathematical foundations in machine learning, computer vision, or related fields.
• Experience with foundation model architectures and training methodologies.
• PhD or equivalent practical experience in Computer Science, Machine Learning, Computer Vision, or a related technical field.
• Demonstrated expertise in deep learning with a publication record in relevant conferences or a strong track record of applying deep learning techniques to real-world products.
• Experience with large-scale distributed training and model parallelism.

• Design, build, and ship core perception technologies and motion synthesis systems.
• Develop and optimize computer vision and machine learning algorithms for human understanding.
• Build motion synthesis systems and algorithms for realistic human motion generation and animation.
• Design and implement biometric algorithms for secure authentication and identification systems.
• Create real-time 3D perception and tracking systems for spatial computing and AR/VR applications.
• Collaborate effectively in a multi-functional, collaborative environment.

• 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.