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Computer Vision Researcher
Ref No.: 18-07579
Location: Bellevue, Washington
Design and develop computer vision algorithms, systems, and products, such as face recognition, face attribute recognition, object detection, image recognition/segmentation/understanding, object tracking, video understanding, action recognition, and pose estimation
Conduct research on computer vision and deep learning algorithms to solve real-world problems
Implement research papers and build prototypes
Work with collaborating teams and provide technical assistance

Requirements
Minimum Requirements:
BS, MS or above in Engineering, Computer Science, Machine Learning, Statistics or related fields
Good understanding of common computer vision and machine learning algorithms as well as popular platform
Skills with C/C++ or other programming language, as well as Python or other similar scripting language
Familiar with at least one mainstream deep learning frameworks, such as Caffe, Tensorflow, Karas and MXNet
1+ year experience in computer vision, machine learning, and deep learning

Preferred:
PhD in Engineering, Computer Science, Machine Learning, Statistics or related fields
Experience in front-end visualization/HCI and/or back-end database practice
Experience with building backend service with Django, Flask, etc.
Experience with cloud and mobile computing
Publications in top-tier computer vision and machine learning conferences and journals
Experience in Open Source Big Data Ecosystem
Experience with industrial practice of linear algebra, deep learning, statistics