— 1+ years experience researching and developing Machine Learning algorithms
— 2+ development experience (as back-end developer)
— Solid mathematical background. Work in the field of topology will be a strong plus
— Practical experience in developing Computer Vision solutions
— Working knowledge of at least one Deep Learning framework (PyTorch preferred)
— Ability to quickly prototype and implement new ideas, finding simple and accurate problem solutions
— Programming skills in Python (numpy, OpenCV)
— Solid fundamentals in classical Machine Learning / Deep Learning
— Understanding of main principles of generative models
Your own projects on github in your favorite field of machine learning that you can show and tell about.
— Competitive salary
— Cozy office
— Cool team
— Fun teambuilding
— Startup atmosphere
— Being part of the team, on a typical workday you are going to do either of following:
— Extract state-of-the-art papers’ core approaches;
— Dissect these cores into pros and cons;
— Reforge approaches to counter weaknesses;
— Implement swiftly demo quality prototypes;
— Convert proven useful prototypes into well-documented production ready code.
Our partner is a technology company working with machine learning since 2011. We have been developing B2B and B2C products based on computer vision and natural language processing and have already created several state of the art machine learning systems.
Reflect face swap is our latest technology. It is the first ever automated realistic face swapping app based on machine learning. You can try it yourself at reflect.tech and read about it on Forbes: www.forbes.com/...stars-back-from-the-dead