Applied Research Scientist, Computer Vision Research -Video Engineering (VE)

Job Overview

Key Qualifications

5+ years of research experience in academia or industry, with a solid publication history

Expertise 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 PRODUCTS

A passion for creating innovative techniques, and making them robust and scalable

Ability to distill vague product experiences into concrete problem definitions

Skilled in explaining and presenting analyses and machine learning concepts to a broad technical audience

Creative, collaborative, and innovation focused

Description

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.

Education & Experience

PhD in Machine Learning, Computer Vision, or related field or MS in related field with strong academic track record

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