Company description
MyPitch is an award winning sports tech startup founded in 2021, backed by partners including Orange & Imec. Being football players ourselves at a local football club, we had no way of proving the value we brought to our team. Some stats like goals, assists and playing minutes were available, but they didn't tell us everything about our game performance.
And that's why we started building the first self-tracking football community. An application that helps local players to discover their potential with real game statistics. By positioning our camera next to any football pitch, we translate game images via computer vision into match statistics which football players can view on the MyPitch app.
Trust us: the new era of automated football data for anyone at any location has arrived and is here to stay.
Job purpose
As a Computer Vision Engineer at MyPitch, you will combine the image processing of the game through computer vision, with the football context you have written. The outcome: actionable stats extracted from a football game! By collaborating closely with football players, clubs and the MyPitch team, you will explore how we can improve our computer vision model each and every day. You will lay the foundation on which our data scientist can elaborate to give football players valuable insights into their performance.
What is your role about?
- You’ll improve the accuracy of our football computer vision model by using state of the art researched and tested techniques and technologies.
- By creating new and/or improving existing (CI) test sets, you contribute to the stability of the software, improving the trust in our product.
- By optimisation of the code of our edge software, you will give football players insights even faster.
- By exploring and testing new features with the MyPitch team using researched hardware and software setups, even more metrics will be revealed for the different positions players have in a football game.
Requirements
- Bachelor’s, MS or PhD in Computer Science, Mathematics, Computational Statistics, Machine Learning or related STEM fields.
- You are fluent with modern machine learning tools (such as Pytorch or Tensorflow) and have hands-on experience.
- Familiarity with advanced deep learning methods based on neural networks, (reinforcement) learning, rnn’s, cnn’s,...
- Experience with programming in Python.
- Fluent English speaker, Dutch is a plus.
- Familiarity with cloud computing is a plus.
- Agility and independence are key to joining the MyPitch family.
Perks
- Stock option plan in place (excluded from taxes on selling).
- Working on a solution that will change football from from the inside.
- An opportunity to operate in a startup environment in which your input will be highly recognised by local football players.
- Joining a team of highly committed people with an amazing skill mix who value the engineering know-how you will be creating.
- A great office in the centre of Ghent (de Krook) at walking distance from the bus station, with other Imec startups and the expertise of academics within easy reach.
- Feel like relaxing? With a magnificent skyline of Ghent, our offices have plenty of opportunities to do so.
- Fresh fruit, football games and coffee all day long.
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