The machine learning video processing engineer will work within a dynamic team at Apple, focusing on developing advanced image and video processing technologies. This role requires a self-motivated engineer with a strong background in machine learning and video processing. The engineer will collaborate with other Apple engineers to create innovative solutions for current and future products. A passion for video processing and compression technologies is essential for success in this position.

• Bachelor's degree in a relevant field and a minimum of 5 years of industry experience.
• Solid background in Machine Learning and Signal/Image/Video Processing.
• Excellent programming skills in Python or C/C++.
• Ph.D. degree in Computer Science, Electrical Engineering, or a related major.
• Publication record in top tier conferences such as CVPR, ICCV, ICIP, or SIGGRAPH.
• Experience deploying neural networks to hardware.
• Experience with GPGPU APIs, preferably Metal or CUDA.
• Excellent written and oral communication skills.

• Develop machine learning based image and video processing technologies.
• Collaborate with a team of engineers to innovate and enhance Apple products.
• Apply strong analytical skills to solve complex technical challenges.
• Contribute to the deployment of neural networks on hardware.

• 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.