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

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
28 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $210k
This role $210k
$132k most similar roles pay here $287k

This role pays more than 50% of similar roles. Most pay $174,800–$246,150 — the shaded band above. At the midpoint, this role pays about $210k versus about $210k for comparable roles.

Based on 239 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos

Join the Camera Imaging Algorithms team within Apple’s Camera & Photos organization as a senior computational photography/computer vision machine learning engineer. You will research and develop cutting-edge machine learning techniques, focusing on image restoration and fusion applications such as denoising, demosaicing, and super-resolution, to enhance the imaging pipeline of Apple products. Your daily tasks include designing algorithms, training deep learning models using frameworks like PyTorch or TensorFlow, and collaborating with cross-functional teams including camera hardware, firmware, GPU, and image quality experts. Ideal candidates possess strong Python coding skills, experience in C/C++, a background in classical computer vision and computational photography techniques, and a passion for pushing the boundaries of imaging technology to deliver innovative features on Apple devices.

What you'll do

  • Design and implement novel machine learning techniques for image restoration.
  • Develop deep learning models to enhance the Apple camera imaging pipeline.
  • Train and optimize deep learning frameworks like PyTorch or TensorFlow.
  • Collaborate with cross-functional teams on innovative imaging technology projects.
  • Contribute to shipping advanced computational photography features in products.

What we're looking for

  • Strong coding skills in Python; C/C++ experience preferred
  • Experience developing machine learning algorithms for computational photography and image processing
  • Extensive knowledge of camera processing pipeline, classical computer vision, and computational photography techniques
  • Proficiency with deep learning frameworks like PyTorch or TensorFlow
  • Expertise in deep learning techniques for image restoration and fusion applications
  • MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields

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