Camera ISP Computer Vision & Machine Learning Algorithm Engineer

Apple Inc

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Work type: On-site
Location: —
Salary: $150,400–$277,600 / yr
Posted: 1 day ago
Freshness: Confirmed live today

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Competitive pay

How this pay compares to similar roles

Similar $215k

This role $214k

$135k most similar roles pay here $293k

This role pays more than 65% of similar roles. Most pay $187,850–$241,750 — the shaded band above. At the midpoint, this role pays about $214k versus about $215k for comparable roles.

Based on 240 similar postings.

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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 3513 open roles on FindRole.

Listed pay typically runs $165,800–$277,600 across 2730 roles with salary data.

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TL;DR · Camera ISP Computer Vision & Machine Learning Algorithm Engineer

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The Camera ISP Computer Vision & Machine Learning Algorithm Engineer joins the Camera Algorithm team to develop image capture, processing, and rendering algorithms for product cameras. This role involves prototyping, implementing, and productizing embedded, lightweight computer vision algorithms for ISP processing and capture control. The engineer will balance optimization and performance in resource-constrained environments while integrating solutions with SOC architecture and firmware systems. Key responsibilities include developing both traditional computer vision techniques, such as image processing and feature detection, and modern learning-based approaches. Candidates must possess a deep understanding of image signal processing for digital cameras and strong embedded coding skills. Required technical proficiencies include MATLAB, Python, and C/C++. The work focuses on the technical challenge of creating high-quality still images and video by leveraging Apple-crafted image signal processing pipelines and hardware components like the Apple Neural Engine.

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