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 $225k

This role $203k

$126k $294k

below market most similar roles pay here above market

This role pays less than 68% of similar roles. Most pay $195,787–$254,750 — the blue band above. At the midpoint, this role pays about $203k versus about $225k 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, with in-depth knowledge of H.264 and HEVC standards. Candidates must possess strong programming skills in C/C++ and demonstrate excellent software design, debugging, and problem-solving abilities. The work focuses on solving technical challenges in video coding, including scaling, noise reduction, tone mapping, digital signal processing, and the application of computer vision and deep learning technologies.

Skills

C++ C H.264 HEVC Video Compression Digital Signal Processing Computer Vision Deep Learning Information Theory Video Processing Scaling Noise Reduction Tone Mapping

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

Bachelor's 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).