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# Machine Learning Video Processing Engineer

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Experienced
- **Salary:** $129,300.0
- **Contract:** Permanent contract
- **Skills:** Computer Programming, Computer Engineering, Noise Reduction, Python (Programming Language), Machine Learning, Video Editing, Pytorch, Deep Learning, Information Technology
- **Published:** September 4, 2026
- **Apply:** https://www.themuse.com/jobs/apple/machine-learning-video-process-engineer-5fd251

## About the Role

PhD or Masters degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields

Knowledge of low-level vision algorithms such as spatial and temporal image/video scaling, noise reduction, etc.

Background in digital signal and image processing

Publication record in top-tier conferences (e.g., CVPR, ICCV, SIGGRAPH, ECCV, NeurIPS, ICML, ICLR)

Excellent independent problem-solving skills

Excellent written and oral communication skills

Minimum Qualifications

Minimum requirement of a bachelors degree

Masters degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields

Knowledge of the principles, algorithms, and techniques used in machine learning and video processing with first-hand experiences.

Programming skills and hands-on experience with Python and deep learning frameworks such as PyTorch

## Description

We are looking for a Machine Learning Video Processing Engineer who will join us to build Apple's next-generation video processing algorithms. In this role, you will identify and develop machine leaning solutions and work closely within a dynamic team to optimize and productize those features. Your responsibilities include, but not limited to, Develop and maintain data collection, processing, and curation pipelines to support model training, validation, and testing.

Design and implement deep learning algorithms for low-level vision tasks.

Optimize models and algorithms for performance, including latency, memory, and computational efficiency.


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