Sticheo is a Computer Vision & Deep Learning Startup founded in 2018. At Sticheo you will get the chance to work on a next-generation advertising technology that will finally make advertising bearable. We take a data-driven approach to solve real-world problems with computer vision & deep learning. We are changing the way advertisers reach out to their audiences, and we need the best people to do it.
THE CHALLENGE
Our main focus at the moment is video streaming: we are building models that can understand a video, where it makes the most sense to insert advertising, then insert it realistically. As opposed to most applied DL problems, this is a visual task which humans are naturally good at but has yet. We’ve broken down the technical requirements into individual steps which are more achievable such as intrinsic image decomposition, object tracking and surface normal estimation.
ABOUT THE ROLE
Computer Vision is at the core of the solutions that Sticheo provides. Our Computer Vision Engineers will at the same time use the latest technologies in a variety of real world scenarios, but also push the boundaries of what is being done in the field.
RESPONSIBILITIES
REQUIREMENTS
THE CHALLENGE
Sticheo is a revolutionary new form of video advertising and with it have come a whole new range of complexities. We need to work with video streams in many different formats, with a broad variety of end users distributed all around the work. In real-time.
ABOUT THE ROLE
As a streaming engineer in this role, you will be responsible for developing features, analyzing performance, and tuning algorithms for streaming media playback. An individual should have development experience at multiple layers of the OS network stack and have experience building network delivery systems for playback of media content. They will have the opportunity to work with the computer vision team to implement bleeding edge research into VOD streams.
RESPONSIBILITIES
REQUIREMENTS