NewMEdialytic is trying to revolutionize the media world by combining interactivity and emotion based recommendation systems that uniquely recommend content and social recommendations.
You will be part of a small team set to bring to light a new concept and a foremost technology aimed at transforming online video watching into an individualized gamified and social experience.
Your work will consist on developing the emotion base recommendation system and interact with another engineer to specify and implement a crawling system.
First and foremost, you are a brilliant individual who has been passionate about data analysis, signal analysis, detection etc..since you were young. You are fundamentally a misfit for the corporate world, too bright to follow bureaucratic directions, too passionate to believe that life is just getting a job to make a living. You are too dynamic to cope with academic low peace and quite frankly you want to make a few more bucks than you could do in academia. You believe there is a sense of purpose in life and you want to be part of creating a better future for yourself and for the world. You have the brilliance of a creative mind, but at the same time you are concrete, laser focused and able to reduce complex technical specs to deliver reliably working solutions. You seek the limit in everything you do and are only happy for a second before setting a new and higher standard to be challenged from !
PhD in artificial intelligence ( Computer science, Physics, Mathematics or statistics), 3-4 years of additional research experience on a DARPA/Defence project, 2-3 years of start up product development experience.
Some understanding of recommendation systems, speech analysis, text analysis, video analytics is preferred. We are open to individuals that can acquire these expertise rapidly ( e.g. mathematicians or physicists who have already worked on developing algorithms for data analysis). We realize these expertise are ascribed to different technical domains, we are primarily interested in multimodal ML as well as emotion detection and the project is inherently multidisciplinary. Bayesian statistics and research in this sector is a plus. We are cultivating a number of relationships with universities around the world who do research on different topics of interest to us.
Telecommuting, while acceptable for 3-4 months, is not optimal because this position is meant to be a core team position and it comes with several responsibilities.