The Machine Learning Engineer will join Apple's Video Computer Vision team, focusing on developing ML models for computer vision and graphics applications. This role involves working with a team of researchers and engineers to tackle challenges in human representation and motion. The engineer will engage in the entire ML cycle, from data collection to model validation. Collaboration with other ML engineers and multi-functional teams is essential to deliver high-quality features for visionOS and iOS platforms.

• BS degree and 10+ years of experience in a relevant field
• MS or PhD degree in computer vision, computer graphics, machine learning, computer science, or computer engineering
• Proficiency in Python and software engineering skills
• Experience with PyTorch
• Excellent communication skills and experience working with multi-functional teams
• Independent problem-solving skills
• Self-motivated with a proven track record of prioritizing and delivering tasks on schedule

• Develop and implement machine learning models for computer vision and graphics applications
• Engage in the entire machine learning cycle from data collection to model validation
• Collaborate with other ML engineers and software engineers to ship features on visionOS and iOS platforms
• Adapt state-of-the-art methods or implement new methods for applied research development
• Deliver high-quality features to diverse end-users

• 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.