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Video Codec Processing Engineer Jobs (NOW HIRING)

... codec and computer vision HW. • Designs, develops, implements, and verifies video systems and HW ... process. Qualcomm is also committed to making our workplace accessible for individuals with ...

... develop complex video codec, computer vision, and AI/ML accelerator hardware solutions ... process. Qualcomm is also committed to making our workplace accessible for individuals with ...

Experience with computer vision and/or image and video processing techniques. * Strong programming ... Experience with video codec and compression techniques, including familiarity with standards such ...

... codec and computer vision HW. • Designs, develops, implements, and verifies video systems and HW ... process. Qualcomm is also committed to making our workplace accessible for individuals with ...

Video AI Engineer

San Jose, CA · On-site

$137K - $275K/yr

What you can expect As a Video AI Engineer, you'll enhance video codec standards to improve real ... Implementing video processing algorithms with modular and well-structured code. * Optimizing ...

Video DE Engineer

Santa Clara, CA · On-site

$167K - $250K/yr

Leverages advanced Video and Computer Vision Engineering knowledge and experience to research and develop critical video codec and computer vision HW. * Designs, develops, implements, and verifies ...

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Video Codec Processing Engineer information

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$60K

$87.7K

$118K

How much do video codec processing engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for video codec processing engineer in the United States is $87,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $106,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Video Codec Processing Engineer jobs?

For Video Codec Processing Engineer jobs, the most frequently searched job titles are:

Video Machine Learning Engineer, Audio & Media Technologies

San Diego, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 17 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could do here! At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. We are seeking a passionate and innovative machine learning engineer to join a team that is shaping the future of video intelligence. Our team develops cutting-edge machine learning technologies and systems that power intelligent, interactive video experiences across Apple's products - including Photos, Camera, Spotlight, FaceTime, AirPlay, and TV+. This is your opportunity to push the boundaries of what's possible in video understanding, processing, and delivery, and to see your work come to life in products used by hundreds of millions of people worldwide.
Description
As a Video Machine Learning Algorithm Engineer on our team, you will be at the forefront of designing, developing, and deploying machine learning solutions that redefine how video is experienced across Apple's ecosystem. You will collaborate with a world-class group of researchers and engineers to tackle challenging problems in video processing and understanding - from crafting novel neural network architectures to optimizing models for on-device performance. Your work will span the full lifecycle of innovation: researching state-of-the-art techniques, prototyping new ideas, training and evaluating models, and shipping production-quality solutions that delight users. If you thrive at the intersection of deep learning research and real-world product impact, this role will give you the platform to do the best work of your career.
Minimum Qualifications
BS in Computer Science, Electrical Engineering, Machine Learning, or a related field
Strong foundation in deep learning and neural network design, including hands-on experience building, training, and deploying models.
Proficiency in one or more deep learning frameworks such as PyTorch or TensorFlow.
Experience with computer vision and/or image and video processing techniques.
Strong programming skills in Python and/or C/C++, with demonstrated ability to debug and solve complex technical problems.
Preferred Qualifications
MS or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field with a focus on video or visual computing.
Experience with video codec and compression techniques, including familiarity with standards such as H.264, H.265/HEVC, AV1, or VVC.
Knowledge of ML-based image and video codecs, including neural compression and learned representations.
Experience with diffusion models and generative approaches for image and video synthesis or enhancement.
Familiarity with advanced video quality metrics (e.g., VMAF, LPIPS, DISTS) and perceptual quality evaluation methodologies.
Experience optimizing and deploying neural networks on edge devices or mobile platforms.
Published research in top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML) in relevant areas.
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.

What Apple employees say

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Benefits

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