1

Video Compression Engineer Jobs in California (NOW HIRING)

Engineering Group, Engineering Group > Video Systems, HW Architecture General Summary: This ... Serves as a subject-matter resource for Embedded Compression, supports integration of the algorithm ...

Drive the acquisition and processing of vision and video data, navigating the complexities of multimodal alignment, video compression, and temporal data consistency. • High-Performance Engineering:

LLM Dataset Engineer

San Francisco, CA · On-site

$155K - $210K/yr

Drive the acquisition and processing of vision and video data, navigating the complexities of multimodal alignment, video compression, and temporal data consistency. * High-Performance Engineering:

Senior Quality Engineer

Carlsbad, CA · On-site

$91K - $123K/yr

They are seeking a Senior Quality Engineer to enhance testing methodologies, conduct manual testing ... video compression standards and tools • Knowledge of automation frameworks (Robot, Selenium ...

next page

Showing results 1-20

Video Compression Engineer information

See California salary details

$30.1K

$87.1K

$137.7K

How much do video compression engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for video compression engineer in California is $87,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $107,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Video Compression Engineer position, and why are they important?

To thrive as a Video Compression Engineer, you need a strong background in video codec theory, signal processing, and programming languages such as C/C++ or Python, often paired with a degree in computer science, electrical engineering, or a related field. Familiarity with industry-standard tools like FFmpeg, x264/x265 libraries, and potentially certifications in video engineering can be highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts within multidisciplinary teams are important soft skills. Mastering these qualifications ensures efficient delivery of high-quality video content, seamless collaboration across teams, and innovation in evolving media technologies.

What are some typical daily responsibilities of a Video Compression Engineer?

A Video Compression Engineer typically spends their day developing, optimizing, and testing video codecs and compression algorithms to ensure efficient streaming and storage. They analyze video quality metrics, resolve encoding issues, and collaborate closely with software developers, QA teams, and product managers to integrate solutions into larger platforms. Staying up-to-date with the latest compression standards and participating in code reviews are also common tasks. This hands-on, collaborative environment allows engineers to see the direct impact of their work on user experience and product performance.

What is a Video Compression Engineer job?

A Video Compression Engineer specializes in optimizing video encoding, compression algorithms, and streaming technologies to efficiently reduce file sizes while maintaining quality. They work with codecs like H.264, HEVC, AV1, and VP9 to improve video delivery across various platforms. Their role involves algorithm development, performance tuning, and ensuring compatibility with different playback devices and network conditions.

What are popular job titles related to Video Compression Engineer jobs in California? For Video Compression Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Video Compression Engineer jobs in California look for? The top searched job categories for Video Compression Engineer jobs in California are:
Infographic showing various Video Compression Engineer job openings in California as of July 2026, with employment types broken down into 5% Internship, 90% Full Time, and 5% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $87,147 per year, or $41.9 per hour.
Video Machine Learning Engineer, Audio & Media Technologies

Video Machine Learning Engineer, Audio & Media Technologies

Apple

San Diego, CA • On-site

Full-time

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

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

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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