Applied Research Scientist - AR/VR

We are looking for research scientists with a passion for using computer vision and machine learning to transform intelligent user experiences. You will join a close-knit team of highly accomplished, deeply technical research scientists and machine learning engineers on delivering cutting edge technologies that impact millions of users. As a member of this team, you will use your deep understanding of computer vision, machine learning, and artificial intelligence to tackle meaningful technical problems, and collaborate with the most innovative product development teams in the world. You will perform fundamental research by defining, designing, implementing and evaluating CVML algorithm involving unrivaled data and objectives. You will also actively engage with the academic community by collaborating with universities, publishing and presenting your work, and participating in other academic efforts. You will have the opportunity to contribute to every cool project around Apple, and transfer your ideas into solutions for some of the most challenging technical problems in the next generation of Apple products. 5+ years of research experience in academia or industry, with a solid publication historyExpertise in at least one area of computer vision, machine learning, and computer graphics (e.g., deep convolutional neural networks, object detection, tracking, segmentation, AR/VR, image and video processing, 3D geometry, SLAM, multi-view geometry, simulation, graphics rendering)Strong experience in building early stage productsA passion for creating innovative techniques, and making them robust and scalableAbility to distill vague product experiences into concrete problem definitionsSkilled in explaining and presenting analyses and machine learning concepts to a broad technical audienceCreative, collaborative, and innovation focused PhD in Machine Learning, Computer Vision, or related field or MS in related field with strong academic track record Preferred Qualifications:Proven track record of innovation in creating novel computer vision and machine learning algorithms and advancing the state of the artProficiency training large scale models using modern machine learning frameworks (e.g. TensorFlow, PyTorch)Strong fundamentals in problem solving, algorithm design, and model buildingPassion for creating new technologies with high product impactExcellent verbal and written communication and presentation skills

Requirements

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How to Apply

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Our Company Values

Apple

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Location
Seattle, Washington, United States
Worldwide
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Salary
$
80000
Annual
Posted on
Jun 6, 2020
applicants
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