TripleLift is looking for a driven computer vision & visual effects engineer to build out automated compositing, contextual recognition, and feature identification and replacement within video content. The automated compositing workflow that you will build will realistically composite images and 3D objects into the 3d scene, tracked to the photographic movement and features of the image. The contextual recognition and feature identification software will make inferences about what's happening in a scene, what objects and characters are in the scene and where the scene is taking place.
You will be building out the tools and workflows that will set the foundation of our newest business line, OTT (over-the-top TV) integrated marketing formats, including dynamic product placement, where a product featured in a TV scene is targeted to the individual viewer (e.g. one viewer sees a Coke bottle in the scene; another viewer sees a Sprite bottle).
We are looking for someone who is a self-starter and eager to learn, as this is a brand new team that we're building out so much of the work will require self-guided research to devise the best implementation for any specific task.
* Build and maintain automated compositing workflow for our new integrated marketing formats * Build and maintain production-ready CV code that analyzes thousands of hours of video content to identify and label dynamic content opportunities * Computer vision research * Build new products and workflows in collaboration with TripleLift's Product and Engineering teams * Ship reliable, scalable, efficient, and elegant code
* Deep understanding of computer vision, image processing, computational photography, 3D geometry, visual effects and compositing * 7+ years of experience with OpenCV or other computer vision processing tools * 7+ years of experience with FFMPEG or other video processing tools * Experience shipping production code * Strong communication skills, particularly in conveying technical concepts in a manner that is easy for clients and non-technical partners to understand * Ability to work under intense pressure and multitask in a fast-paced start-up environment * B.S., M.S., or Ph.D in Computer Science or equivalent experience
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