As an AI researcher, you will be a part of our highly talented innovation team, building our next generation advanced AI platform for sport analytics. To be successful in this role, you must be a fast learner with lifelong commitment to expanding your knowledge. You should be able to thrive in a dynamic environment that combines conceptual and applied research, systems building and collaborative work. You will work together with similarly-minded individuals on a unique development team where your skills and expertise will be put to the test! This is a once-in-a-lifetime opportunity to help shape the future of sport analysis, coaching, media storytelling and betting. What you will be doing: Our ideal candidate would have strong experience and scientific background with a consistent track record of successfully researching and delivering scalable AI-based products. The selected candidate will be part of our innovation team collaborating with other CV/ML research scientists and engineers, and will be actively involved in the AI innovation life cycle from model prototyping to deployment.

  • Research and develop advanced AI technologies to improve our core ML/CV algorithms and to solve sport analysis problems in a practical and scalable way. Our research focus includes (but is not limited to) the following:
    • Computer vision (object detection, camera calibration, tracking, re-identification, motion capture, activity detection, activity prediction, etc.)
    • Sequence modelling, time series modelling and prediction, probabilistic models
    • General deep learning topics including self-supervised learning, transfer learning, few-shot learning, active learning, generative models and graph neural networks, attention based models (transformers)
  • Daily collaboration with our engineering team and product managers to produce quality software
  • Review the team’s code and experiments, provide insightful feedback and teachings
  • Contribute to the company’s IP portfolio
  • Contribute to the research community via academic publication and disseminating novel results in top conferences
  • PhD degree in computer science, electrical/computer engineering, or a related quantitative field with research and development experience in computer vision and machine learning
  • Experience with full CV/ML life-cycle from model development, training, testing, deployment, monitoring, and refining and iterating
  • Experience with deep learning frameworks (e.g., Pytorch or Tensorflow)
  • Solid programming skills in Python or C/C++ and familiarity with software development best practices
  • Strong publication record in computer vision, machine learning and deep learning in top tier conferences and journals
  • Ability to develop large-scale systems working with image/video data
  • Strong working knowledge of software architecture and data structure
  • Competitive salary
  • Flexible work schedule
  • Comprehensive benefits program
  • A cooperative and fun work environment
  • Freedom to publish the research work
  • Collaborative research with our world-class academic network


Ai Machine Learning Computer Vision