Video Machine Learning Engineer, Audio & Media Technologies

Apple Inc

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$139,500–$258,100 / yr
Posted
56 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k
This role $199k
$124k most similar roles pay here $280k

This role pays less than 66% of similar roles. Most pay $197,925–$249,750 — the shaded band above. At the midpoint, this role pays about $199k versus about $224k for comparable roles.

Based on 240 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Video Machine Learning Engineer, Audio & Media Technologies

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Join our dynamic team as a Video Machine Learning Engineer where you will contribute to the development of cutting-edge machine learning technologies that enhance user experiences across Apple’s products like FaceTime, Camera, AirPlay, and more. Your daily tasks include designing neural network architectures, training and optimizing models, and collaborating with cross-functional teams to integrate new technology into our offerings. You should have a strong background in digital video processing, modern video codecs, and experience in designing and optimizing neural networks. Proficiency in programming, problem-solving, and performance optimization is essential, as well as familiarity with AI integration in software development. This role offers the opportunity to work on large-scale systems that impact millions of users globally.

Skills

Python C++ TensorFlow PyTorch Keras CUDA OpenCV H.264 H.265 Neural Networks Video Processing CI/CD

What you'll do

  • Design advanced neural network architectures for video technologies.
  • Train, optimize, and integrate neural networks into Apple products.
  • Develop new algorithms or enhance existing ones for video processing.
  • Collaborate on creating innovative user experiences for video communication.
  • Coordinate with cross-functional teams to implement new technology solutions.

What we're looking for

  • Master's degree in Electrical Engineering or Computer Science, or 3 years of equivalent work experience
  • Extensive experience in digital video processing and modern video codecs
  • Deep knowledge and hands-on experience in designing and optimizing neural networks
  • Strong programming skills with a focus on problem-solving and performance optimization
  • Experience in utilizing AI to enhance user experiences in video communication technologies

Related searches

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