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Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos

Cupertino, CA, US • Posted 11 hours ago • Updated 11 hours ago

Full Time

On-site

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Job Details

Skills

Research
Shipping
Collaboration
Computer Hardware
Firmware
GPU
Python
C
C++
Algorithms
Image Processing
Photography
Fusion
Deep Learning
PyTorch
TensorFlow
NMS
Computer Vision
Machine Learning (ML)
Computer Science
Electrical Engineering
Communication

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.\\n

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 camera hardware, firmware, GPU, and image quality teams to bring your innovative ideas to product. We are seeking a creative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline.

Strong coding skills in Python; experience in C/C++ a big plus\nDemonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems\nExtensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques\nExperience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution), and experience with deep learning frameworks like PyTorch or TensorFlow\nMS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields\n

Excellent verbal and written communication skills\nCreativity and curiosity for solving complex problems

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90733111
Position Id: 232ff654d44ec02ade8fc9aeba325618
Posted 11 hours ago

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Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos

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