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Machine Learning Video Process Engineer

Apple
Posted 3 months ago, valid for a month
Location

Cupertino, Santa Clara 95015, CA

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Apple is seeking a highly self-motivated Machine Learning Video Processing Engineer to join their Video Engineering team.
  • The role involves developing next-generation video processing algorithms and optimizing machine learning solutions.
  • Candidates should have a minimum of a Bachelor's degree in relevant fields and at least 3 years of experience in machine learning and video processing.
  • Preferred qualifications include a Master's or PhD degree, programming skills in Python, and experience with deep learning frameworks like PyTorch.
  • Salary details are not specified, but the position offers the chance to impact products used by a billion users globally.
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 potentially change the world! The Video Engineering team at Apple is responsible for creating the image and video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated individual to fill in the position of Machine Learning Video Processing Engineer.

Description


We are looking for a Machine Learning Video Processing Engineer who will join us to build Apple’s next-generation video processing algorithms. In this role, you will identify and develop machine leaning solutions and work closely within a dynamic team to optimize and productize those features. Your responsibilities include, but not limited to:

Minimum Qualifications


Minimum requirement of a bachelors degree Masters degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields Knowledge of the principles, algorithms, and techniques used in machine learning and video processing with first-hand experiences.   Programming skills and hands-on experience with Python and deep learning frameworks such as PyTorch

Preferred Qualifications


PhD or Masters degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields Knowledge of low-level vision algorithms such as spatial and temporal image/video 
scaling, noise reduction, etc.  Background in digital signal and image processing
 Publication record in top-tier conferences (e.g., CVPR, ICCV, SIGGRAPH, ECCV, NeurIPS, ICML, ICLR) Excellent independent problem-solving skills
 Excellent written and oral communication skills



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