• You are expected to be well-versed in classical computer vision techniques. Image morphology, feature tracking, photogrammetry, homography and epipolar geometry, optical flow, camera calibration and image stitching are not new concepts for you. Know when these classical methods will work and when they won't (edge detection, background subtraction, etc). Know how to make these methods fast (work at 30fps) and robust to noise. Python and familiarity with OpenCV and TensorFlow are preferred.
What you'll get:
• Work on challenging problems with direct industrial application • Access to our advisory board in ETH and industry experts • You'll have as much responsibility and ownership as you can handle • Access to high-performance workstations with top-of-the-line GPUs and Nvidia Jetson family • Get into a start-up with lot of potential, which has all the positive signals going for it:
This position can be filled as full-/part time. Co-founder position still available.
To apply for this position contact the creator of the job: Message Alex Garcia
Can you imaging to go shopping any time of the day or night without having to queue at the checkout and to pay with a simple click? That's our ultimate goal, to improve the shopping experience while helping retailers to expand their opening hours, increasing revenues and reducing operational costs.
To achieve our goal, we are developing a solution which relies on computer vision and machine learning. We use installed surveillance cameras to monitor in real time the products customers are picking up. In addition to enabling the payment of purchases, we provide retailers with insights only available in the e-commerce industry.
We have won two prizes and received very positive feedback from the market and investors. Now we are growing the team to reach the next milestones. Are you ready?