CVML Engineer - 3D Reconstruction

**Role Number:** 200664328-3956

**Summary**

The Video Computer Vision organization is building breakthrough technologies for future Apple products. Our team delivers cutting-edge computer vision, machine learning, and graphics algorithms that power human understanding and geometric reasoning for health and fitness features. In this role, you will collaborate with world-class experts in AI, ML, Software, and Hardware to solve fundamental challenges in human-centric 3D solutions that will impact millions of users across Apple's ecosystem.

**Description**

We are looking for a CVML Engineer with deep expertise in multi-view geometry and modern machine learning approaches, and a genuine passion for shipping product features. You will research, adapt, and implement state-of-the-art 3D and 4D reconstruction algorithms for human understanding and geometry-driven health and fitness applications. You will design novel approaches that combine classical geometry with modern deep learning techniques to produce high-quality ground truth data for training and evaluation, as well as develop robust, high-quality runtime algorithms for on-device deployment. You will collaborate with cross-functional teams to define requirements and validation frameworks, and deliver production-ready code optimized for Apple silicon and mobile devices.

**Minimum Qualifications**

+ BS degree in Computer Vision, Machine Learning, Computer Graphics, or related fields and a minimum of 3 years relevant industry experience

+ Hands on experience developing 3D and/or 4D computer vision algorithms and systems or equivalent

+ 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.

**Preferred Qualifications**

+ 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++.