Video 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
83 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k
This role $199k
$124k most similar roles pay here $280k

This role pays less than 66% of similar roles. Most pay $197,925–$249,750 — the shaded band above. At the midpoint, this role pays about $199k versus about $224k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Video Machine Learning Engineer, Audio & Media Technologies

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Join our dynamic team as a Video Machine Learning Engineer where you will design and develop advanced machine learning algorithms and neural network architectures for video processing, compression, understanding, and enhancement. You’ll collaborate with top researchers and engineers to tackle complex challenges, from prototyping new ideas to deploying production-quality solutions that enhance user experiences across Apple’s ecosystem, including Photos, Camera, Spotlight, FaceTime, AirPlay, and TV+. Essential skills include a strong background in deep learning, proficiency in frameworks like PyTorch or TensorFlow, and experience with computer vision techniques. Preferred qualifications involve expertise in video codec standards, ML-based image and video codecs, diffusion models, and optimizing neural networks for edge devices. This role offers the opportunity to work on cutting-edge technologies that impact millions of users globally.

Skills

Python PyTorch TensorFlow C C++ H.264 H.265/HEVC AV1 VVC Diffusion models Generative approaches VMAF LPIPS DISTS Neural compression Learned representations

What you'll do

  • Design and develop novel machine learning algorithms for video processing and understanding.
  • Train and evaluate deep learning models using large-scale datasets to achieve state-of-the-art performance.
  • Optimize machine learning models for efficient deployment on Apple hardware, considering resource constraints.
  • Implement end-to-end machine learning pipelines into Apple's products and frameworks.
  • Investigate and prototype emerging research techniques to solve complex video-related challenges.

What we're looking for

  • BS degree in Computer Science, Electrical Engineering, Machine Learning, or related field.
  • Expertise in deep learning and neural network design with practical deployment experience.
  • Proficiency in PyTorch or TensorFlow for building and training models.
  • Experience in computer vision and video processing techniques.
  • Strong programming skills in Python and/or C/C++ for complex problem-solving.
  • MS or PhD preferred, focusing on video or visual computing areas.
  • Knowledge of advanced video compression standards like H.264, HEVC, AV1, VVC.

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