3D/4D Reconstruction Engineer - On-Device ML for Health

Apple Inc.; Sunnyvale (CA); On-site; USD 150,000 - 278,000; Full time

Job summary

Apple Inc. in Sunnyvale, CA is seeking a CVML Engineer to advance state-of-the-art 3D/4D reconstruction for health and fitness features.

You will research, adapt, and implement modern geometry and deep learning approaches, aiming for production-ready on-device performance on Apple silicon. Collaborate with AI, ML, software, and hardware teams to define requirements, validation frameworks, and robust runtimes.

Qualifications

• BS degree in Computer Vision, Machine Learning, Computer Graphics, or related field with at least 3 years of 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 foundation in linear algebra, optimization, and geometry processing
• Experience with modern ML architectures applied to 3D problems
• Excellent communication skills and ability to work in cross-functional teams
• Self-motivated with a track record of delivering on schedule

Responsibilities

• Research, adapt, and implement state-of-the-art 3D and 4D reconstruction algorithms.
• Design approaches that combine geometry with deep learning for ground truth data and robust runtimes.
• Collaborate with cross-functional teams to define requirements and validation frameworks for on-device deployment.

Skills

Python

PyTorch

3D vision

4D reconstruction

Multi-view geometry

Cross-functional teamwork

Communication skills

Education

Bachelor's degree in CV/ML/CG

Tools

C/C++

Job description

Apple Inc. in Sunnyvale, CA is seeking a CVML Engineer to advance state-of-the-art 3D/4D reconstruction for health and fitness features.

You will research, adapt, and implement modern geometry and deep learning approaches, aiming for production-ready on-device performance on Apple silicon. Collaborate with AI, ML, software, and hardware teams to define requirements, validation frameworks, and robust runtimes.