Machine Learning Video Research Engineer

Apple Inc

Quick summary

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

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k
This role $210k
$132k most similar roles pay here $287k

This role pays less than 53% of similar roles. Most pay $177,156–$249,750 — the shaded band above. At the midpoint, this role pays about $210k versus about $213k 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 324 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 230 roles with salary data.

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At a glance

TL;DR · Machine Learning Video Research Engineer

As a Machine Learning Video Research Engineer at Apple, you will join a cutting-edge team dedicated to advancing the future of video technology. This senior-level role involves researching and developing innovative deep learning algorithms to enhance image and video processing for upcoming Apple products. You will collaborate closely with cross-functional teams to optimize model efficiency and deploy them on specific hardware architectures while ensuring quality and computational requirements are met. Key responsibilities include inventing models, designing datasets and pipelines, prototyping new architectures, and staying updated with the latest ML/CV innovations. Essential skills encompass hands-on experience in deep learning research, proficiency in PyTorch or TensorFlow, and a strong background in model design and training procedures. This role demands expertise in generative modeling, optical flow, perceptual quality, and ML for video compression to tackle complex challenges at the forefront of technology.

What you'll do

  • Develop ML-based approaches to solve image/video processing problems.
  • Design datasets and training pipelines for deep learning models.
  • Prototype new architectures to enhance model performance continuously.
  • Optimize efficiency of ML models for deployment on specific hardware.
  • Work with cross-functional teams to meet quality and computational goals.
  • Communicate progress, demonstrate technology, and present to leadership.

What we're looking for

  • At least 3 years of hands-on experience in machine learning research.
  • Strong background in deep learning with publications in top-tier conferences.
  • Proficiency in modern machine learning frameworks like PyTorch or TensorFlow.
  • Expertise in designing, prototyping, and optimizing ML models for various hardware.
  • Solid understanding of ML principles including model training and debugging techniques.

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