We are growing fast and looking to find experienced developers to join our great team at our one of a kind office at the top floor of Södra Teatern!
Whether you are passionate about tech, esports or both we can offer a unique opportunity to build state of the art computer vision applications and prediction models in a fast moving business. We're looking for someone that wants to be challenged and want to challenge us, someone passionate about technology and motivated to see both yourself and the team as a whole grow and excel!
Outside of day-to-day tasks we also engage in internal "show and tells" between members of team that work with new and interesting technologies and problems. We also have strong culture of social activities in and around the office, with Södra Teatern as our playing ground which offers some truly unique events especially in the summer time when there are live concerts in the evening just outside our balconies. Things like coffee, tea, snacks and fruits are of course always available for free and the views from the office are an unmatched way to wind down when needed!
Our data science team face a lot of novel and interesting challenges. We are looking for a senior data scientist who is driven by the challenge of building robust and performant applications, where “best in class” is the given standard to go by. What is also important to have is the knowledge and experience to know what to build in-house and what services, libraries or frameworks are best bought or brought in from the open source community, so time and resources are spent efficiently.
As a senior engineer it is also your responsibility to drive development practices, to introduce new methods and frameworks that ensure high code quality as well as a modern and efficient codebase.
To be able to work efficiently with our code-base, we would like to see that you have practical experience in a few of these areas (personal or professional).
- Cloud based services and infrastructure
- Python programming
- Machine learning & deep neural networks
- Solid experience with building your own data pipelines etc
- Text recognition and/or image processing
Here are some applications you will work with, and possibly take lead on:
Where ingestion of raw server data is not an option, we use computer vision on the live video streams to automatically extract data. This allows us to get a lot more data than what any human could log throughout a match, faster and with higher accuracy. While it does not make the same amount of data available at the same latency as server access would, it is quite a powerful solution that can drive lots of interesting applications.
Probability Networks & Performance Rating
With all the data we are sitting on, we have a great foundation to try to find answers to “who is going to win the next match?”, “what constitutes a good or bad player performance in a game?” or "what is an effective player constitution for a team". We approach these questions and more with classical modelling, pure algorithms as well as ML/AI approaches.