Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos
Location
Cupertino, CA
Job Type
Full-time
Category
other-general
Posted
June 03, 2026
**Weekly Hours:** 40
**Role Number:** 200634411-0836
**Summary**
In the Camera Imaging Algorithms team in the Camera & Photos organization, we are looking for passionate, self-driven computational photography/computer vision machine learning engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world.
**Description**
As a machine learning engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like ...
**Role Number:** 200634411-0836
**Summary**
In the Camera Imaging Algorithms team in the Camera & Photos organization, we are looking for passionate, self-driven computational photography/computer vision machine learning engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world.
**Description**
As a machine learning engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like ...