Machine Learning Video Engineer

Apple Inc

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$147,400–$272,100 / yr
Posted
50 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $217k
This role $210k
$132k most similar roles pay here $287k

This role pays less than 56% of similar roles. Most pay $184,950–$249,750 — the shaded band above. At the midpoint, this role pays about $210k 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 Engineer

As a Machine Learning Video Engineer at Apple, you will join the dynamic Video Engineering team to develop advanced machine learning technologies for image and video domains. Your role involves applying cutting-edge techniques to complex challenges, working independently and collaboratively to prototype deep learning applications that enhance video processing quality across various platforms. You’ll design sophisticated model architectures, optimize performance parameters, and ensure seamless portability of solutions while balancing memory efficiency, power consumption, and speed constraints. Additionally, you will distribute computational workloads effectively across diverse hardware components including CPUs, GPUs, and Apple Neural Engines to deliver robust, high-quality products that delight millions of users daily. This role demands expertise in machine learning, video/image processing, and proficiency with frameworks like PyTorch or TensorFlow, along with a strong foundation in computer architecture and excellent interpersonal skills.

What you'll do

  • Develop machine learning technologies for image and video domains using cutting-edge techniques.
  • Design sophisticated model architectures to address complex image and video challenges.
  • Fine-tune performance parameters to enhance output quality of models.
  • Implement architectural modifications to optimize models for memory efficiency and processing speed.
  • Port solutions across different platforms while balancing quality within operational constraints.
  • Distribute computational workloads across various hardware components like CPU, GPU, and Apple Neural Engine.

What we're looking for

  • Deep expertise in machine learning and image/video processing quality.
  • Solid programming skills with common ML frameworks like PyTorch or TensorFlow.
  • Experience prototyping models for edge devices through quick iterations.
  • Familiarity with productization flow for ML models.
  • Prior experience in deep learning techniques for video processing/computer vision.
  • Strong fundamentals in computer architecture and hardware optimization.

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