Computer Vision Intern @ Fyusion

AI & Machine Learning (3)
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AI & Machine Learning (3)

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Fyusion is a machine learning & computer vision company that enables anyone to capture and display interactive 3D 360 images using their smartphone. Our unique 3D format allows for significant additional functionality that 2D images can’t offer, including: background image effects & automatic damage detection for cars, and an understanding of the human skeleton for tagging products & features in fashion E-commerce. Our investors and customers include large international conglomerates and industry leaders, which puts us in a unique and advantageous position. We have ambitious goals and are looking for new energetic team members to help us reach them together.

The Computer Vision team at Fyusion develops and applies state of the art algorithms in visualization, 3D reconstruction, SLAM, bundle adjustment, state estimation, and sensor fusion. We combine this with the efforts from our Machine Learning team to deliver an intelligent product which is loved by our customers.

We are looking for candidates who are excited about solving complex problems at the intersection of classical 3D geometry and Deep Learning. You will have the resources and opportunities to publish your work at major conferences.

Here are our requirements:

Experience in a Deep Learning framework such as Tensorflow or Pytorch
Experience in applying Deep Learning on visual and/or geometric data
Proficient in Python

Here’s what we can offer you:

Paid company holidays, commuter benefits, company catered lunches, a fully stocked snack pantry, team and company off-sites, but the most exciting: the chance to work on an incredible pioneering technology team that impacts user-facing services.

If you read this and think this is what you want to do, apply! If you read this, and think that you might need some help hitting all of the points, please apply! We have an entire team that is happy to mentor and share their knowledge with you.

Computer Vision Intern

Deep Learning

Fyusion

Here are our requirements:

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