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# Machine Learning Video Codec Algorithm Engineer

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Expert
- **Salary:** $184,700.0
- **Contract:** Permanent contract
- **Skills:** Apple Products, Computer Vision, C++ (Programming Language), Data Compression, Computer Programming, Software Debugging, Noise Reduction, H.264/MPEG-4 AVC, Information Theory, Machine Learning, Software Engineering, Video Codec, Video Editing, Deep Learning, Information Technology
- **Published:** October 8, 2026
- **Apply:** https://www.themuse.com/jobs/apple/machine-learning-video-codec-algorithm-engineer-4979d9

## About the Role

and future Apple products. This role demands a dedicated individual with strong analytical and creative problem-solving skills, as well as a deep passion for video coding and processing technologies., PhD or MS in Computer science, Electrical Engineering, or related major.

Experience with both objective and subjective visual quality assessment methods.

Understanding of hardware-based techniques with the ability to develop ideas that are hardware-friendly.

Familiarity with video processing algorithms (e.g., scaling, noise reduction, tone mapping).

Proficiency in digital signal processing and information theory.

Knowledge of the latest computer vision and deep learning technologies.

Excellent collaboration skills.

Strong written and verbal communication skills.

Minimum Qualifications

BS and a minimum of 10 years relevant industry experience.

Expertise in video and image coding principles, algorithms, and techniques.

In-depth knowledge of video compression standards such as H.264, HEVC, VVC, VP9, AV1, and AV2.

Strong programming skills in C/C++.

Excellent software design, problem-solving, and debugging abilities.

## Description

Orchestrate R&D in emerging media compression technologies and standards. Design and implement innovative video compression/processing algorithms optimized for existing hardware. Collaborate with hardware and software architects to define and integrate media features and algorithms for future products.