ML Video Codec Engineer

Apple Inc

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Quick summary

Work type: On-site
Location: San Diego, CA
Salary: $142,300–$263,300 / yr
Posted: 75 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $226k

This role $203k

$126k $294k

below market most similar roles pay here above market

This role pays less than 69% of similar roles. Most pay $196,562–$254,750 — the blue band above. At the midpoint, this role pays about $203k versus about $226k 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 3497 open roles on FindRole.

Listed pay typically runs $174,149–$277,600 across 2702 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 and dynamic group to spearhead research and development in emerging media compression technologies and standards. The role involves designing and implementing innovative video compression and processing algorithms optimized for existing and future hardware platforms. The engineer will collaborate with hardware and software architects to define and integrate media features for upcoming products. Key requirements include expertise in video and image coding principles, in-depth knowledge of H.264 and HEVC standards, and strong programming skills in C/C++. Candidates should possess software design, debugging, and problem-solving abilities. Preferred skills include experience with visual quality assessment, hardware-friendly techniques, digital signal processing, information theory, and the application of computer vision and deep learning technologies to video processing.

Skills

H.264 HEVC C++ C Video Compression Digital Signal Processing Deep Learning Computer Vision Information Theory Video Processing Algorithms R&D

What you'll do

Spearhead R&D in emerging media compression technologies and standards.
Design and implement innovative video compression and processing algorithms.
Optimize algorithms for existing and future hardware platforms.
Define and integrate media features for upcoming products with hardware and software architects.
Apply computer vision and deep learning technologies to video processing tasks.
Develop hardware-friendly ideas for video processing and compression.
Perform objective and subjective visual quality assessments.
Implement video processing algorithms such as scaling, noise reduction, and tone mapping.

What we're looking for

BS degree and a minimum of 3 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 both objective and subjective visual quality assessment methods (preferred).
Understanding of hardware-based techniques and ability to develop hardware-friendly ideas (preferred).
Familiarity with video processing algorithms, digital signal processing, information theory, and deep learning (preferred).