Camera Imaging ML Engineer: Computational Photography & CV

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 150,000 - 278,000; Full time

Job summary

Apple Inc. in Cupertino, CA is seeking a passionate machine learning engineer to contribute to the Camera Imaging Algorithms team.

You will research and implement ML techniques for image restoration and fusion, and collaborate with camera hardware, firmware, GPU, and image quality groups to ship cutting-edge imaging features. You will train and deploy deep learning models, combine classical computer vision with modern DL approaches, and help advance Apple’s camera pipeline across devices.

Qualifications

• Strong coding skills in Python; experience in C/C++ a big plus
• Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems
• Extensive knowledge in camera processing pipeline, classical computer vision, and computational photography techniques
• Experience with deep learning techniques for image restoration and image fusion (denoising/demosaicing/super-resolution) and frameworks like PyTorch or TensorFlow
• MS/PhD in Computer Vision, Machine Learning, CS, EE, or related fields

Responsibilities

• Research and develop novel machine learning techniques for image restoration and fusion applications
• Develop and train deep learning models for imaging tasks and collaborate with cross-functional teams to ship imaging features
• Leverage classical computer vision and computational photography techniques to improve the Apple camera imaging pipeline

Skills

Python

C/C++

Machine learning

Deep learning

PyTorch

TensorFlow

Education

MS/PhD in Computer Vision or ML or CS or EE

Tools

PyTorch

TensorFlow

Job description

Apple Inc. in Cupertino, CA is seeking a passionate machine learning engineer to contribute to the Camera Imaging Algorithms team.

You will research and implement ML techniques for image restoration and fusion, and collaborate with camera hardware, firmware, GPU, and image quality groups to ship cutting-edge imaging features. You will train and deploy deep learning models, combine classical computer vision with modern DL approaches, and help advance Apple’s camera pipeline across devices.