The 3D Vision team at Apple Maps is seeking talented individuals to join their group of computer vision and machine learning experts. This role involves researching and developing innovative technologies that utilize 3D geometry and machine learning. The team focuses on solving complex real-world problems using large datasets collected from various platforms. Successful candidates will contribute to user-facing products within Apple Maps and beyond.

• Strong background in Computer Vision and Machine Learning.
• Familiarity and hands-on experience with 3D geometry problems such as SLAM, bundle adjustment, and 3D reconstruction.
• Solid programming skills in C/C++/Python.
• Masters degree with 2+ years of experience.
• Published papers in top-tier CV/ML conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, and Siggraph.
• Experience with training models for feature detection, matching, and pose estimation is appreciated.
• Knowledge of computer graphics fundamentals is appreciated.
• Some experience with GPU/graphics languages such as CUDA, OpenGL, or Metal is a plus.
• PhD degree in Computer Vision, Machine Learning, AI, Computer Science, Electrical Engineering, or related field.

• Research and develop a variety of computer vision technologies.
• Work on visual localization, positioning, SLAM, and 3D reconstruction.
• Develop novel methods that combine 3D geometry and machine learning.
• Collaborate with a team of problem solvers to tackle complex challenges.
• Contribute to the development of technologies that power user-facing products.

• 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.