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 Video Coding and Machine Learning Engineer - Cupertino, California, United States

   
Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Creative services/Design
Engineering - Electrical
Multimedia
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200109103 / Latpro-3738815 
Date posted: Apr-22-2020
State, Zip: California, 95014

Description

Video Coding and Machine Learning Engineer

Santa Clara Valley (Cupertino) , California , United States

Software and Services

Summary

Posted: Oct 4, 2019

Role Number: 200109103

Imagine what you could do here. At Apple, extraordinary ideas have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

Key Qualifications

  • You are an authority in video coding and processing
  • You have excellent knowledge and experience in machine learning and computer vision
  • You have strong programming, debugging and problem solving skills (C, C++, python).
  • You are creative, detail-oriented and well-adapted.
  • You have excellent oral & written interpersonal skills and social skills.
  • You have an ability to stay focused and prioritize a heavy workload while achieving extraordinary quality

Description

The Interactive Media Group is looking for a highly skilled and innovative engineer who is up to playing a key role in delivering state of the art video coding and processing technologies. We're looking for a teammate with shown success in delivering products. You will be a critical part of a diverse team, and will thrive in a high energy, time constrained, multitasking environment.

Education & Experience

MS Computer Science or MS Electrical Engineering or equivalent.



Requirements

See job description

 

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