Video Machine Learning Engineer, Audio & Media Technologies

San Diego, CA, US • Posted 16 hours ago • Updated 3 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Media
  • Innovation
  • Video
  • Machine Learning (ML)
  • Algorithms
  • Neural Network
  • Training
  • Electrical Engineering
  • Computer Science
  • Digital Video
  • Video Codecs
  • Problem Solving
  • Conflict Resolution
  • Performance Tuning
  • Artificial Intelligence

Summary

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something.\\nWe are looking for a talent who will join us to craft the future of video coding and processing. Our team develops cutting edge machine learning technologies and systems that enable intelligent and interactive video experience in Apple's products, such as FaceTime, Camera, AirPlay, CarPlay, Screen Share, Immersive Reality, etc. You will work closely with a group of highly motivated specialists to develop exciting machine learning technologies that will make a huge impact to customers.

As a video machine learning engineer in our team, you will be responsible for developing ML/DL solutions to enhance or bring new user experiences. You will be deeply involved in developing new or improving existing algorithms; designing neural network architectures; training, optimizing, integrating networks; and coordinating with various teams to ship new technology in Apple products.\n

Master's degree in Electrical Engineering or Computer Science or 3 years of equivalent work experience\nExperience in digital video processing\nModern video codec knowledge\nDeep knowledge and experience in designing and optimizing neural networks\n

Strong programming, problem solving, and performance optimization skills\nExperience in utilizing AI in programming\n\n
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: 8855e277a881ec8c5c72227a2a5a6adf
  • Posted 16 hours ago
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