Veo is the world’s most exciting AI powered sports camera company. Our innovative and fully automatic camera solution enables sports teams to record their matches and training sessions without the need for 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 16,000 clubs and schools in 80+ countries use Veo, and more than 20,000 matches are uploaded every week.

But that’s not the cool part about us.

The cool part about us is our people. The strength of our brand, and our purpose and vision, have enabled us to attract some of the smartest minds in the world. They are the reason, we are able to create a great product and do it whilst enjoying ourselves.

Growing as fast as we do in Veo also means that every day is different and exciting, both in the front line and in the back office.

Working as a student assistent in Veo’s AI team is evolving, challenging and exciting. You get to take on tasks on an equal footing with the full time employees hired as Deep Learning Researchers. This allows you to grow extensively as you get great responsibility, if you want to. And at the same time, you are never left on your own, as everyone assists each other on the challenges they may face. This allows for the perfect environment for a student worker to develop new skills technologically, theoretically and operation-wise, as you get a lot of control on your own projects, but still get guidance from very skillful and experienced deep learning researchers.

As the team is still fairly small, you also get to learn a lot about machine learning operations and general software competences.

Primary tasks

• Develop deep learning models from scratch

• Apply existing models on new data

• Acquire knowledge on state of the art research within different deep learning areas

• Scope projects and its goals

• Make new exploration on deep learning in sports environments

• Do data analysis

• Use common software practices to drive development and machine learning operations

Background 

Strong skills within python or other languages supporting deep learning. Familiar with machine learning tools (e.g. tensorflow, pytorch) Experience with classic software coding environments like: gitssh and serversGPUscloud services (e.g. AWS)

Though most of us have an interest in sports, you do not have to be a sports fanatic to fit in. In contrast, the author of this job ad had to google the off-side rule. We unite our efforts to create a great workplace fuelled by our love of technology, desire to make a mark, and positive energy across our civilization.

Be a part of our accelerating growth journey in a modern scale-up company with a revolutionary product. We are diverse, open-minded, and have a laid-back atmosphere, but with a performance-driven culture at its core.

Have we piqued your interest? Great. Interviews are conducted continuously, so please apply with LinkedIn or your resume as soon as possible.