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Salary
$169k – $306k per year (Estimated)
Location
In office (Cupertino)
Seniority
Senior · 6+ years exp

First seen by Alion on Sep 24, 2026.

Overview
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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.
Are you a passionate Machine Learning Engineer with a deep love for photography? Join Apple's Camera Hardware Engineering team and help us redefine the camera experience for millions of users worldwide. As a key player in our innovative team, you will collaborate closely with hardware, software, and image processing specialists to develop cutting-edge camera technologies.

Description

As a Machine Learning Engineer in the Camera Hardware Engineering group you will be responsible for all research, design, development, test, and qualification of camera hardware for Apple products. This team is seeking an experienced Machine Learning Engineer with a background in Camera and image sensor technologies. You will bring your expertise to the team and be responsible for ongoing design, evaluation, benchmarking and characterization of Apple camera products.

Minimum Qualifications

Bachelor’s degree in Computer Science, Electrical Engineering, Physics, Optics, or related field and 10 years of relevant experience

Experience with Python programming and deep learning frameworks like PyTorch

Experience with machine learning and computer vision principles, and algorithms.

Experience with camera and/or image sensor technologies.

Preferred Qualifications

MS or Ph.D. in Machine Learning, EE, CS, Physics, Optics, or equivalent and 3+ years of experience in machine learning research or relevant industry experience

Experience with applying deep learning to various computer vision tasks, such as: Object recognition, Image segmentation, Inpainting, and Anomaly detection

Experience in applying generative AI and reinforcement learning techniques to enhance hardware design processes.

Experience with using advanced ML methods to optimize system architectures and improve image quality in the hardware design domain.

Experience with image quality metrics and evaluation methodology

Experience with camera components, functions, and the camera ISP pipeline

Experience with megapixel CMOS image sensor technology, lens selection, and qualification

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