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Deep Learning Researcher for Image and Vision Applications - Imaging & Sensing Technology Group at Apple

The Imaging and Sensing group is looking for an extraordinary Deep Learning Researcher engineer to drive state of the art technologies for Apple products. As part of the team you would work on core hardware components, including the Apple Image processing pipeline, and machine learning neural engine, where you will have the chance to define the way that Apple develops, tests and manufactures all of its products. Our close-knit team fosters an environment of product innovation, rapid product iteration and collaboration at both team and multi-functional levels with a liberating amount of autonomy.

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple products.

Do you love working on challenges that no one has solved yet? The Imaging and Sensing group at Apple develops depth sensing systems such as the revolutionary True Depth camera that powers Face ID and the Scanning LiDAR in the new iPad Pro.
This multi-disciplinary group of engineers is responsible for architecture, design, and development of these highly complex sensing systems for all Apple products.

-Develop Deep Learning algorithms to be used with state of the art image and depth sensors. These algorithms are targeted to the next generation of products and will enable novel applications and experiences
-Solve challenging problems in the domains of sensor fusion and depth estimation
-Design algorithms targeted to real world deployment, meeting real time and power constraints
-Collaborate with an active community of top notch researchers, developing highly complex pipelines. In particular, you will -work closely with sensor technology and vision application teams

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