Viaplay Group • Stockholm • Heltid
At Viaplay Group, we entertain millions of people every day through our streaming services, radio networks, TV channels and production studios. We believe in the power of content not just as a way of telling stories and touching lives, but also expanding worlds.
We may have started in the Nordics, but we have a global mindset and consider ourselves to be the international entertainment provider. This means we’re constantly launching our Viaplay streaming service in new markets and on the lookout for talented, curious, driven professionals to join us on our journey.
Right now, we’re searching for a Backend Developer to join the Data Science team in our Stockholm office – are you ready to hit play on an exciting career change?
As a backend engineer, you will bring to life recommender systems and other intelligent services that personalize and enhance the experience on our video on demand (VOD) streaming service Viaplay. You will join a humble but ambitious team called Recommendation Platform. With other software engineers, you will develop and operationalize recommendation models, integrating with Machine Learning services such as AWS SageMaker and Viaplay’s Data Lake built by sister Data Science teams.
What we’re looking for
We understand you may feel confident ticking certain boxes more than others and that’s why we always keep an open mind in our recruitment process. But, in order to thrive in this role, we do believe you’ll have at least some experience in the following:
It’s a bonus if you have:
Hit play today
If this feels like your kind of challenge, make sure you apply by attaching your CV here – you may also want to add your LinkedIn profile. Please don’t send us your application via email because we won’t be able to accept it. We do, however, welcome any questions you may have about this particular position.
Streaming services, radio networks, TV and production companies. It's our mission to create compelling stories that reach beyond media outlets and touch people's lives.