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Salary
≈ $213k – $411k per year (Estimated)
Location
In office (Cupertino)
Seniority
Middle · 3+ years exp
Visa
H-1B filings in 12 months: 6,350 · for this role: 2,959 · green card filings: 37

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Sep 23, 2026. Apple scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

Imagine the impact of your work - technologies you help create will be experienced by over a billion people every day. At Apple, you’ll have the opportunity to contribute to products that consistently set industry standards and, at times, redefine the world. Our team is responsible for developing the core image and video technologies used in nearly all Apple products and services. We are seeking a motivated and adaptable Machine Learning Video Processing Engineer who thrives in technically challenging environments and is eager to push the boundaries of innovation.

Description

We are seeking a Machine Learning Engineer to help develop Apple’s next-generation video processing algorithms. In this role, you will collaborate closely with a dynamic team of Apple engineers to design and implement machine learning-based image and video processing technologies that power both current and future Apple products.

Responsibilities include, but not limited to:

- Develop, implement, and optimize machine learning based video processing algorithms

- Contribute to data collection, curation, analysis and processing for algorithm training and evaluation

- Research and evaluate state-of-the-art learning-based methods for low-level vision tasks

Minimum Qualifications

BS and a minimum of 3 years relevant industry experience

Hands on experience on image/video processing, machine learning and computer vision

Programming skills in Python, Java, or C/C++

Preferred Qualifications

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

Project experience on low level computer vision algorithms such as spatial/temporal filtering, image enhancement, or video analysis

Publication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc)

Excellent written and oral communication skills

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