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Computer Vision and Deep Learning Engineer

$0k – $100k • 2.0% – 8.0%
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We are looking for a rebel. Someone with drive and a desire to solve real world vision problems with unique solutions, who loves what they do and wants to make an impact. If you believe yourself to be innovative, challenge driven, and want to be part of a disruptive company as well as be at the forefront of one of the most exciting technologies today (and meet the requirements below), we want to here from you!

- pick best suited off-the-shelf or propose novel CV and machine learning algorithms and techniques.
- propose optimizations/upgrades to current state of the art neural network architectures if required.
- Ensure the performance, quality, and responsiveness of 3D shape estimation algorithms.
- research and implement computer vision techniques to perform 3D object detection and reconstruction in real time.
- Publishes original research and delivers presentations at conferences and events.
- Works directly with engineers/researchers to embed of algorithms into commercial software products.
- Keep abreast with contemporary research in the field.

The right candidate will have:

-A BSc in Computer Science, Mathematics or Engineering or equivalent working experience
(-Preferably a Masters or PhD in Computer Vision/Machine Learning or similar)
-At least 3 years of experience researching and implementing deep learning architectures.
-Deep technical experience working with technologies related to artificial -intelligence, machine learning and/or deep learning.
-A strong mathematics and statistics background, with a understanding of the following: linear algebra, fuzzy logic, bayesian inference, differential geometry, vector algebra, SVM, SVD, PCA, convex optimization.
-Ability to read, understand and implement the latest research papers.
-Working knowledge of frameworks like: Sci-kit learn, Tensorflow, MXnet, etc.
-Experience with software development techniques and languages (C, C++, python, Go)
-Ability to think strategically about business, product, and technical challenges.
-Experience with computer vision
-Must have deep knowledge of neural network architectures.
-Dedicated to producing high quality code.

/* in your note answer these three questions:
1. why do you want to work here?
2. What is something interesting about you?
3. What language do programmers use most? (hint: not the obvious answer)

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