The Video Computer Vision organization at Apple is focused on developing innovative technologies for future products, particularly in real-time world tracking and sensor calibration using VIO, SLAM, and ML solutions. The team is looking for a talented engineer to contribute to the development of computer vision algorithms that enhance augmented reality and device localization. This role involves collaboration with skilled software development and ML teams to create impactful technologies. The engineer will also advocate for high-quality results within a unique research and development environment.

• Bachelor's degree and a minimum of 3 years of relevant industry or academic experience.
• Programming skills with C++.
• Foundation in computer vision, particularly in multiple view geometry, 3D computer vision, SfM, and SLAM.
• Master's or PhD in computer vision, machine learning, robotics, or related fields.
• Understanding of visual inertial sensor fusion or general sensor fusion is a plus.
• Experience in developing, training, and tuning ML models related to the above areas is a plus.

• Develop core technology algorithms to support future user experiences.
• Communicate with and support external teams that utilize our algorithms.
• Support low-level, cross-platform efforts.
• Participate in code reviews.
• Advocate for high-quality results within the team.

• 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.