SwiMMinD Seeks a Tech Co-Founder, Data Scientist in Artificial Intelligence

What if you could shape the future of sports and be part of the team that successfully connects the digital with the real world, to motivate people exercise more via a mobile application, by means of Artificial Intelligence and Gamified Augmented Reality?

At the beginning of the 20th century, the father of the modern Olympic Games said “the most important thing in the Olympic Games is not to win but to take part, just as the most important thing in life is not the triumph but the struggle. The essential thing is not to have conquered but to have fought well.”

100 years and more later, SwiMMinD has a grand vision of improving the physical education, by means of augmented gamified reality, artificial intelligence, and machine learning. SwiMMinD will motivate people enjoy the struggle and the fight from early age to adulthood.

Our team includes highly skilled and experienced professionals ranging from a highly experienced IT Project Manager, Website Developers, Olympic Champions, World Record Holders and Learn to Swim Experts. There is no other competitor in the video analysis sector that has this unique combination of focused expertise and experience.

At SwiMMinD we are tackling the AI Water Challenge in mobile phones which no other scientific team was able to conquer. We love the struggle. We love the fight!

If you like to think ahead, like we do, then we must talk.

SwiMMinD Tech Co-Founder should be a data scientist in artificial intelligence with the following attributes:

  • Familiar with existing deep learning libraries (e.g., TensorFlow, PyTorch, Caffe2) and machine learning packages (i.e. sklearn)
  • Experience applying machine learning and artificial intelligence to domain specific applications, such as geospatial intelligence, natural language processing, few-shot learning, adversarial machine learning, social computing, computer vision, etc.
  • Ability to contribute that knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery.

This position will require interactions with sports experts internationally, including technical and programmatic concept development, planning, coordination, integration, and execution that can be supported by data science and deep learning techniques.

Minimum Qualifications

Bachelor’s degree with 2 years of experience, a Master’s degree with 0-2 years of experience, or a PhD with 0 years of experience is required.

The Company:
A start-up pioneering the global sports industry, SwiMMinD is capitalizing on data science and machine learning technology to create the world’s first consumer centric, a mobile application, an AI Assistant that teaches people how to swim and race globally in a fun, enjoyable way, in augmented gamified reality mode, without leaving local pools. 

For its concept SwiMMinD was awarded by the International Olympic Comitee, Google and Alibaba Cloud

If you think that you are up to this challenge, please email your CV directly to: [email protected]

 Nice to have:

  • Passion for sports, particularly in swimming
  • Experience with one deep learning frameworks, TensorFlow or PyTorch

We are offering the possibility to work from home or flexible working hours. Stock Options Plan and the unique opportunity of working with us to create an amazing app targeting millions of people just by solving the AI water environment challenge.