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On Call Video Codec Engineer Jobs (NOW HIRING)

Leverages advanced video and computer vision engineering knowledge and experience, along with AI/ML hardware acceleration expertise, to research and develop complex video codec, computer vision, and ...

Principal Duties and Responsibilities: • Applies Video and Computer Vision Engineering knowledge to assist in the research and development of video codec and computer vision HW. • Assists in the ...

We are seeking experienced system engineers for our cutting-edge efforts in areas related to image processing, video codec architecture/design and computer vision. Successful candidates will be part ...

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On Call Video Codec Engineer information

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$30.5K

$88.3K

$139.5K

How much do on call video codec engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for on call video codec engineer in the United States is $88,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is the difference between On Call Video Codec Engineer vs Video Compression Specialist?

AspectOn Call Video Codec EngineerVideo Compression Specialist
Required CredentialsBachelor's in Computer Science or Electrical Engineering, certifications in video codecs (e.g., H.264, H.265)Similar credentials, often with specialized training in video compression algorithms
Work EnvironmentTechnical support, troubleshooting, real-time problem resolution, often on-callResearch, development, optimization of compression algorithms, less on-call
Employer & Industry UsageTelecommunications, streaming services, broadcasting companiesMedia technology firms, research labs, codec development companies

While both roles require expertise in video codecs and similar certifications, the On Call Video Codec Engineer primarily focuses on real-time troubleshooting and support, often working on-call to resolve urgent issues. In contrast, the Video Compression Specialist concentrates on developing and optimizing compression algorithms, with less emphasis on immediate support tasks.

More about On Call Video Codec Engineer jobs
What are the most commonly searched types of Video Codec Engineer jobs? The most popular types of Video Codec Engineer jobs are:
Infographic showing various On Call Video Codec Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 76% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $88,303 per year, or $42.5 per hour.
Video Machine Learning Engineer, Audio & Media Technologies

Video Machine Learning Engineer, Audio & Media Technologies

Apple

San Diego, CA • On-site

Full-time

Re-posted 19 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

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.
We 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.
Description
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.
Minimum Qualifications
Master's degree in Electrical Engineering or Computer Science or 3 years of equivalent work experience
Experience in digital video processing
Modern video codec knowledge
Deep knowledge and experience in designing and optimizing neural networks
Preferred Qualifications
Strong programming, problem solving, and performance optimization skills
Experience in utilizing AI in programming

What Apple employees say

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Hours and flexibility

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976