Machine Learning Student Worker

Veo is a global leader in AI-based sports camera technology. Our innovative, fully automatic camera solution enables sports teams to record matches and training sessions without a camera operator. We’re democratizing the world of sports by granting video analysis for teams on all levels—a privilege that used to be only for the few. More than 40,000 clubs in 90+ countries record their games every week. Growing as fast as we do in Veo means that every day is different, exciting, and challenging, both on the front line and in the back office.
But that’s not the most remarkable thing about us.
The coolest thing is our people. We’ve attracted some of the brightest minds in the industry. They are the reason we can create a great product and do it while enjoying ourselves.
Working as a student assistant in Veo’s AI team is evolving, challenging, and exciting. You’ll be collaborating with skilled and experienced full-time ML researchers and engineers while getting the chance to take responsibility for your projects. At the same time, you’ll never be left alone but get good support from the rest of the team when facing challenges. This creates a suitable environment for a student worker to develop new skills technologically, theoretically, and operation-wise. Primary tasks:

• Develop machine learning models from scratch.
• Improve existing models and apply them to new data.
• Acquire knowledge of innovative research within different machine-learning areas.
• Scope projects and goals.
• Make further explorations on machine learning in sports environments.
• Do data analysis.
• Use standard software practices to improve development and machine learning operations.