Machine Learning Video Codec Algorithm Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$181,100–$318,400 / yr
Posted
59 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k
This role $250k
$153k most similar roles pay here $336k

This role pays more than 78% of similar roles. Most pay $183,951–$249,750 — the shaded band above. At the midpoint, this role pays about $250k versus about $217k for comparable roles.

Based on 239 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Machine Learning Video Codec Algorithm Engineer

Join our dynamic team as a Machine Learning Video Codec Algorithm Engineer, where you will contribute to cutting-edge video codec standards and develop innovative compression algorithms for Apple’s future products. This role involves orchestrating R&D in emerging media compression technologies, designing efficient video processing algorithms optimized for hardware constraints, and collaborating closely with architects to integrate these features into new product lines. Ideal candidates possess expertise in video coding principles, a deep understanding of standards like H.264, HEVC, VVC, VP9, AV1, and AV2, and strong programming skills in C/C++. Additional preferred qualifications include experience with visual quality assessment methods, hardware-friendly design techniques, and knowledge of digital signal processing and information theory. This position demands a creative problem solver passionate about advancing video coding technologies at scale.

What you'll do

  • Design and implement innovative video compression/processing algorithms for Apple products.
  • Optimize video compression algorithms for existing hardware architectures.
  • Collaborate with architects to integrate media features in future products.
  • Stay updated on emerging media compression technologies and standards.
  • Conduct research in video coding principles, algorithms, and techniques.
  • Develop ideas that are compatible with hardware-based implementation.

What we're looking for

  • Expertise in video and image coding principles, algorithms, and techniques.
  • In-depth knowledge of H.264, HEVC, VVC, VP9, AV1, and AV2 compression standards.
  • Strong programming skills in C/C++.
  • Excellent software design, problem-solving, and debugging abilities.
  • PhD or MS in Computer Science, Electrical Engineering, or related field.

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