ML Video Codec Algorithm Engineer

Apple Inc

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $150,400–$277,600 / yr
Posted: 175 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $223k

This role $214k

$135k most similar roles pay here $293k

This role pays more than 58% of similar roles. Most pay $190,750–$254,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $223k 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 Algorithm Engineer

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The ML Video Codec Algorithm Engineer joins a small, dynamic team focused on video codec standards and the development of groundbreaking compression and processing algorithms for current and future products. This role involves orchestrating research and development in emerging media compression technologies while designing and implementing innovative algorithms optimized for existing hardware. The engineer will collaborate with hardware and software architects to define and integrate features into upcoming devices. Key technical requirements include expertise in video and image coding principles, deep knowledge of standards like H.264, HEVC, VVC, VP9, AV1, and AV2, and proficiency in C/C++. Additional skills involve digital signal processing, information theory, computer vision, and deep learning technologies. The role addresses the technical challenge of optimizing video compression and processing techniques for hardware-friendly integration.

Skills

H.264 HEVC VVC VP9 AV1 AV2 C C++ Video Compression Digital Signal Processing Computer Vision Deep Learning Information Theory

What you'll do

Orchestrate research and development in emerging media compression technologies and standards.
Design and implement innovative video compression and processing algorithms.
Optimize video algorithms specifically for existing hardware constraints.
Define and integrate media features with hardware and software architects for future products.
Apply deep knowledge of H.264, HEVC, VVC, VP9, AV1, and AV2 standards to development.
Develop hardware-friendly techniques for video processing tasks like scaling and noise reduction.
Implement advanced algorithms using C/C++ and digital signal processing principles.
Utilize computer vision and deep learning technologies to improve video quality.

What we're looking for

Bachelor of Science degree.
Minimum of 3 years of relevant proven experience.
Expertise in video and image coding principles, algorithms, and techniques.
In-depth knowledge of compression standards including H.264, HEVC, VVC, VP9, AV1, and AV2.
Strong programming skills in C/C++.
Proficiency in digital signal processing and information theory.
Knowledge of computer vision and deep learning technologies.
Experience with hardware-friendly techniques and video processing algorithms like scaling or noise reduction.

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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