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Wise IT Göteborg Heltid

Machine Learning Engineer to Livewrapped

About the job

Livewrapped is an Ad Tech company that provides a service to their customers to help maximize their digital ad revenue on different websites through Header Bidding. Due to a large expansion Livewrapped is now looking for a new colleague. 

About the role: 

As a Machine Learning Engineer at Livewrapped you will have the overall responsibility to develop their product where Machine Learning and other optimization techniques are applicable. You will create and develop optimization models in order to maximize revenue for publishers.

Your tasks will be to optimize parameters used in online real-time auctions using non-personalized data collected from, for instance, a user's browser and the performance of participating bidders in said auctions. 

Who are we looking for?

You have a solid background in Machine Learning and you enjoy solving complex optimization problems independently, as well as being able to implement your solutions. You are able to share your knowledge and ideas with your colleagues.

  •  A minimum of 4 years experience in Machine Learning and optimization techniques
  •  Ability to write the code needed to implement optimization techniques
  •  Knowledge within C# programming language
  •  Fluent in English, both writing and speaking

    It is an advantage if you have:

    • Experience within Ad-tech
    • Relevant University degree or education

    In this recruitment process we are working with Wise IT. If you want to know more about the position please reach out to recruitment consultant Jacob at jacob.elmeljung@wiseit.se or +46 76-000 1840.

    About us

    Livewrapped is a technology company specializing in assisting publishers to increase their digital advertising revenue through so-called Header Bidding. Since the start in 2017, the company has quickly managed to establish itself as one of the leading players in the Nordic market, despite fierce competition from large international companies with competing products.

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