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Video GenAI Algorithm Developer

WSC Sports

WSC Sports

Software Engineering
Israel
Posted on Sunday, May 26, 2024

Video GenAI Algorithm Developer

  • Engineering
  • Israel
  • Full-time

Description

WSC Sports, the pioneer in AI-powered content technology, empowers more than 460 clients worldwide to connect with their fans through AI-tailored sports content experiences. Our platform automates content creation, management, and distribution, enabling media rights holders to expand reach, grow fan bases, and unlock revenue opportunities across digital platforms.

Why WSC Sports:

You'll work in an exciting environment alongside some of the most innovative people in the industry, using cutting-edge tools and technologies. At WSC Sports, you have the opportunity to directly influence the products and solutions used by our clients worldwide, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and that's just the beginning of what we have to offer! Join us and be a part of the best tech team as we Fuel The Fandom.

WSC Sports is looking for a Computer Vision / Deep Learning Algorithm Developer to join us in research and development of our next-generation automatic sports video content generation engine. If you are passionate about researching state-of-the-art solutions for video content creation - we are looking for you!

What you’ll do:

  • Research and develop end-to-end real-time solutions for sports content generation using state-of-the art deep learning algorithms for video, audio, and data analysis.
  • Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.

Requirements

What you’ll need:

  • Degree in Computer Science/Electrical Engineering/related field with a focus on AI/Computer Vision/ML. M.Sc or PHD - Big Advantage
  • Strong background, with 3+ years of industry experience in Computer VIsion Deep Learning algorithms.
  • Experience in Python programming - Must.
  • Strong analytical and problem-solving skills
  • Excellent self-learning abilities