As part of your role you will:
Research
and develop state-of-the-art Computer Vision and Deep Learning based
algorithms intended for the sports market, and to be integrated into
products. This includes academic-style research, and
implementation in C++/Matlab /Python environments.
Design
and implement state-of-the-art algorithms in product platform (C/C++),
while considering constraints such as computation resources, response
time, memory consumption, etc.
Work
and cooperation with All-star teammates across our engineering group.
You should bring with you:
Impressive
M.Sc/Ph.D. degree from prominent academic institute (Technion, TAU, BGU,
BIU). Relevant degrees: Electrical engineering/ Computer Science / Applied
mathematics/ Applied Physics / Bio-Medical engineering – Mandatory
Proven
experience in computer vision and deep learning algorithmic development – Mandatory
At
least 2 years’ experience in computer vision algorithms development – Mandatory
Excellent
C++ programming skills – Mandatory
Experience
In OpenCV – Advantage
GPU
computing (e.g., OpenCV), with parallel considerations – Advantage
Experience
in advanced deep learning methods applied for image/object/face recognition
and tracking with tensorflow, caffe, keras etc – Advantage.
C/C++
programming experience in embedded platforms – Advantage.