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Machine Learning Video Processing Engineer

Apple · Cupertino, United States of America

Spotted 117d ago

Job details

Education
Master's degree
Posted
Dec 23, 2024
Last confirmed open
Oct 26, 2026

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Company-specific questions

  • Have you previously worked at Apple?
Job description

About this role

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!

This 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. Your responsibilities include but not limited to:

  • Develop, implement, and optimize machine learning based video processing algorithms that work well in the resource-constrained environments.
  • Work on data collection and pre-processing for training/testing/validation.
  • Investigate the latest learning-based low-level vision technologies and tasks.

Masters degree in Computer Science, Electrical Engineering, or related major.

Familiar with Signal Processing, Machine Learning, CPU architecture, and Operating System.

Python, Java, or C/C++ programming skills.

Experience with performance (power and speed) optimization

  • GPGPU SIMD programming.
  • Knowledge of deploying neural network to hardware.
  • Experience with multithread NEON / SIMD.
  • Experience with GPU APIs preferably Metal, CUDA, OpenGL, and/or OpenCL.
  • Excellent written and oral communication skills.
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