Video Codec Machine Learning Engineer, Audio & Media Technologies

Apple Inc

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$139,500–$258,100 / yr
Posted
37 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $214k
This role $199k
$125k most similar roles pay here $276k

This role pays less than 61% of similar roles. Most pay $177,975–$249,750 — the shaded band above. At the midpoint, this role pays about $199k versus about $214k 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 · Video Codec Machine Learning Engineer, Audio & Media Technologies

As a Senior Video Codec Machine Learning Engineer at Apple's Audio & Media Technologies team, you will lead the development of next-generation video codecs that set new industry standards. Your day-to-day responsibilities include collaborating with software and hardware teams to design and implement advanced video coding algorithms using machine learning techniques, and guiding a team of specialists in researching novel codecs tailored for Apple’s unique use cases. You must have deep expertise in video and image coding principles, proficiency in C/C++ or Python, and experience with ML frameworks like PyTorch or TensorFlow. Ideal candidates also possess hands-on knowledge of industry-standard video coding protocols such as H.264/AVC, HEVC, AV1, VVC, and emerging standards, along with a passion for applying cutting-edge machine learning and AI technologies to enhance video processing capabilities across Apple’s diverse product ecosystem.

What you'll do

  • Spearhead contributions of groundbreaking algorithms and ML innovations to next-gen video coding standards.
  • Define, architect, and implement cutting-edge video coding and machine learning algorithms for Apple products.
  • Explore and apply advancements in deep learning, neural compression, generative AI, and computer vision for video technologies.
  • Research and develop novel video codecs with a focus on machine learning and AI-powered approaches.
  • Guide a team of specialists in creating innovative video coding solutions tailored to Apple's unique use cases.

What we're looking for

  • Deep expertise in video and image coding principles and algorithms.
  • Proficiency in industry-leading video coding standards like H.264/AVC, HEVC, AV1, VVC, and emerging standards.
  • Strong software engineering skills with proficiency in C/C++ or Python.
  • Practical experience applying machine learning and deep learning to video processing challenges.
  • Experience in ML frameworks such as PyTorch or TensorFlow for developing video codecs.
  • Visionary mindset to translate cutting-edge research into real-world product impact.
  • Proven leadership and collaboration skills in driving complex projects across teams.

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