ML Video Codec Engineer

Apple Inc

Confirmed live 2 days ago Trusted

Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $175,000–$308,500 / yr
Posted: 29 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k

This role $242k

$131k most similar roles pay here $327k

This role pays more than 74% of similar roles. Most pay $187,850–$243,700 — the shaded band above. At the midpoint, this role pays about $242k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · ML Video Codec Engineer

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The ML Video Codec Engineer joins a small, dynamic team focused on video coding and processing technologies. In this role, you will spearhead research and development in emerging media compression technologies and standards while designing and implementing innovative algorithms optimized for both current and future hardware platforms. You will collaborate with hardware and software architects to define and integrate features into upcoming products. The position requires expertise in video and image coding principles, including H.264 and HEVC standards. Essential skills include C/C++ programming, software design, debugging, and digital signal processing. Preferred qualifications include experience with visual quality assessment, hardware-friendly development, and knowledge of computer vision or deep learning technologies applied to video processing tasks like scaling, noise reduction, and tone mapping to solve complex technical challenges in media compression.

Skills

H.264 HEVC C++ C Video Compression Digital Signal Processing Computer Vision Deep Learning Information Theory Video Processing Algorithms Software Design Debugging

What you'll do

Lead research and development in emerging media compression technologies and standards.
Design and implement innovative video compression algorithms optimized for current and future hardware platforms.
Develop video processing algorithms such as scaling, noise reduction, and tone mapping.
Integrate media features and algorithms into upcoming products in coordination with hardware and software architects.
Apply deep learning and computer vision techniques to enhance video processing capabilities.
Perform objective and subjective visual quality assessments for video content.
Develop hardware-friendly solutions for advanced video coding and processing tasks.

What we're looking for

Bachelor of Science degree and at least 10 years of relevant industry experience.
Expertise in video and image coding principles, algorithms, and techniques.
In-depth knowledge of video compression standards such as H.264 and HEVC.
Strong programming skills in C/C++.
Excellent software design, problem-solving, and debugging abilities.
Experience with objective and subjective visual quality assessment methods (preferred).
Understanding of hardware-based techniques to develop hardware-friendly ideas (preferred).
Familiarity with video processing algorithms, digital signal processing, information theory, or deep learning technologies (preferred).

Video Machine Learning Engineer, Audio & Media Technologies

Apple Inc

San Diego, CA 148 days ago $142,300–$263,300

Machine Learning Deep Learning Neural Networks Python C++ PyTorch TensorFlow Computer Vision Video Processing H.264 H.265/HEVC AV1 VVC Diffusion Models

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