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≈ $225k – $493k per year (Estimated)
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In office (Seattle)
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Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Jan 28, 2026. Apple scores A on the Alion truth index.

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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.

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something - you’ll add something.

In Visual Intelligence Technology team, we work hard to bring the best user experiences powered by Apple Intelligence. We leverage cutting-edge technologies like Visual Search and LLM to empower user-facing features like Visual Look-up and Visual Intelligence in camera and photos. We also advance our technology innovation in Visual Intelligence Technology and Multimodal Foundation Model for longer-term ambitious goals.

As part of this team, you will explore how large-scale models can understand and reason about complex visual scenes, design and build large-scale training pipelines, and perform experiments at scales. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific LLMs for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

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