The Video Computer Vision organization at Apple is focused on developing innovative technologies for future products, particularly in health and fitness features. The team specializes in computer vision, machine learning, and graphics algorithms that enhance human understanding and geometric reasoning. The CVML Engineer will work alongside experts in AI, ML, Software, and Hardware to tackle challenges in 3D solutions that will benefit millions of users. This role involves researching and implementing advanced reconstruction algorithms and developing high-quality runtime algorithms for on-device deployment.

• BS degree in Computer Vision, Machine Learning, Computer Graphics, or related fields.
• A minimum of 3 years of relevant industry experience.
• Hands-on experience developing 3D and/or 4D computer vision algorithms and systems.
• Deep understanding of multi-view geometry and 3D reconstruction pipelines.
• Strong proficiency in Python and PyTorch with solid software engineering practices.
• Solid mathematical foundation in linear algebra, optimization, and geometry processing.
• Experience with modern ML architectures and their applications to 3D problems.
• Excellent communication skills and proven ability to work effectively in cross-functional teams.
• Self-motivated with a track record of prioritizing effectively and delivering on schedule.
• MS or PhD in Computer Vision, Computer Graphics, Machine Learning, Computer Science, or related fields.
• Experience with human-centric 3D and 4D reconstruction approaches, datasets, and evaluation methodology.
• Background in differentiable optimization and geometric deep learning approaches.
• Experience optimizing ML models for mobile deployment and resource-constrained environments.
• Knowledge of SLAM, bundle adjustment, and photogrammetric reconstruction techniques.
• Proficiency in C/C++.

• Research, adapt, and implement state-of-the-art 3D and 4D reconstruction algorithms.
• Design novel approaches that combine classical geometry with modern deep learning techniques.
• Produce high-quality ground truth data for training and evaluation.
• Develop robust, high-quality runtime algorithms for on-device deployment.
• Collaborate with cross-functional teams to define requirements and validation frameworks.
• Deliver production-ready code optimized for Apple silicon and mobile devices.

• 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.