Machine Learning Video Processing Algorithm Engineer

Cupertino, CA, US • Posted 11 hours ago • Updated 11 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Algorithms
  • Microsoft Excel
  • Management
  • Analytical Skill
  • Data Compression
  • Machine Learning (ML)
  • Video
  • Python
  • C
  • C++
  • Computer Science
  • Electrical Engineering
  • Neural Network
  • Computer Hardware
  • GPU Computing
  • CUDA
  • Communication

Summary

Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple, you will have the opportunity to work on products that are always leaders in the industry and occasionally change the world! Our group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated and enthusiastic engineer who is able to excel in a technically challenging environment to fill in the position of machine learning video processing engineer.

In this role you will work with Apple engineers in a dynamic team developing machine learning based image/video processing technologies for current and future Apple products. This position requires a highly self-directed engineer with strong creative and analytic skills and passion for video processing and compression technologies.

BS and a minimum of 10 years of relevant industry experience.\nSolid background in Machine Learning and Signal/Image/Video Processing. \nExcellent programming skills in Python or C/C++

Ph.D Degree in Computer Science, Electrical Engineering or related major\nPublication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc)\nExperience of deploying neural network to hardware.\nExperience with GPGPU APIs, preferably Metal, CUDA\nExcellent written and oral communication skills.
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: f0107efa07ebe3323766ab435626f3d2
  • Posted 11 hours ago
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