The rapid pace of deep learning research in the last few years is
showing how fast machine can replace humans in a lot of differents
visual tasks.
At PandaScore we are building a robust AI that analyse video games
competitions from video streams. Our main clients are Betting operators
and they are intrinsically very demanding in term of data quality and
latency. So we built robust algorithms with high accuracy in image
classification and detection but also very quick to do so.
Your role will be to work on implementing new e-sports to our algorithm:
- Find clever ways to create large datasets :kappa:
- Creating efficient models
- Tackling various challenges
- Collect new relevant statistics
You will also be part of the R&D work on adding new model
structure (GAN, LSTM, ... ) and infrastructure problematics on
optimizing video processing time.
Here is a list of few skills that matters for us:
- Having Experience on computer vision problems
- Understanding how image/video processing, compression and improvement works.
Perks:
- We have people that help create data-sets in-house for you :)
- Gaming room (PS4, PCs, Switch)
- Video game credits
- Central office (Bourse/Grands Boulevards)
- Other usual perks (health insurance, transportation participation,...)
Working at PandaScore imply being passionate about video games and
truly believing in e-sport success. Sport is dead long live to E-Sports!
At PandaScore we love autonomy, searching how to solve any problem,
being curious about deep learning advancement. We see ourselves as
researchers as much as data scientist.
Let's get in touch!
