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Strossle is a rapidly growing, venture capital backed, digital media company with global leadership ambitions. We are looking to strengthen our machine learning team with a back-end engineer / data engineer to help us develop our infrastructure for data handling and efficient modeling further.

Would you be excited about being part of developing a cutting edge machine learning platform with data management, tools for our data scientists to be as effective as possible in developing new and even better models, sa well as systems for serving the models in production? Then we have a really exiting opening for you in our machine learning team! Your main task will be to maintain and extend our machine learning platform for exploring data, developing and testing new models, and making sure the productionized models are running smoothly. It is a really exciting combination of system design and architecture, data bases, big data solutions like Spark, collecting and presenting performance metrics, etc.

At Strossle we believe that a high degree of flexible work offers employees freedom and more creativity, which will bring us the results we’re looking for.


Key responsibilities

  • Maintain and extend our machine learning platform
  • Develop tools to help our data scientists be more effective
  • Optimize uptime and efficiency for the productionized models

Requirements

Please make sure these qualifications are clear from your resume

  • B. Sc. or M. Sc. in computer science or similar field
  • Fluent in Python
  • Good knowledge of SQL
  • Experience in designing and building systems and micro services
  • C++ (or other compiled language) is a great bonus
  • Apache Spark is a good bonus
  • Understanding of machine learning is also a great bonus

Key qualities

Please show us in your cover letter how you exemplify these qualities either at or outside work.

  • Innovative - did you find a completely new way to solve an existing problem at your last work place?
  • Passionate - are you a pro amateur athlete, a guitarist in a folk band, volunteer helping kids with homework, etc.? Show us you are a real and passionate person.
  • Team player - what do you contribute to your team in terms of your personality? Visionary, doer, mentor, spotting problems that everyone else misses, etc.?

About Strossle

Strossle helps publishers and brands to increase page views, attract new visitors and generate more revenue. At the core is a proprietary platform using algorithms and massive data collection to ensure that the right visitors are exposed to the right content and the right ads in the right context. This is often referred to as Content Discovery.

Strossle’s revenues are primarily generated from Native Advertising, which is the fastest growing ad format today. We have partnered with more than 1,000 publishers in 10 countries. This is only the beginning of a journey that will extend far beyond ad revenues. Our vision is to facilitate a profitable future for all content creators by providing them with the same reach and data as the social platforms have today.

Strossle was founded in 2013 and has 60 employees, of which more than half is in development. The company holds two registered patents.

Benefits


  • Stock option packages are available from time to time
  • Flexible working hours
  • Recurring hack days
  • Great amount of freedom
  • Monthly allowance for health promoting activities
  • Regular bonus competitions where the tech team is competing against a benchmark to win the opportunity for world-wide travel
  • Yearly allowance for conferences and educational material
  • B. Sc. or M. Sc. in computer science or similar field
  • Fluent in Python
  • Good knowledge of SQL
  • Experience in designing and building systems and micro services
  • C++ (or other compiled language) is a great bonus
  • Apache Spark is a good bonus
  • Understanding of machine learning is also a great bonus
Detta är en jobbannons med titeln "Data Engineer / Back-end developer" hos företaget Strossle och publicerades på webbjobb.io den 14 September 2017 klockan 06:10.

Hur du söker jobbet

Notera att denna annons är publicerad via en av våra partners, där särskilda vilkor (krav på medlemskap, separat ansökning eller liknande) kan tillämpas.

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