Software Engineer - Recommender Systems

Hybrid
Mid-level
🇩🇪 Germany
Software Developer
Software development

Fullstack Developer with a desire for more

  • you work in an independent team to develop a recommender system to take our news websites and apps to the next level
  • you are part of an enthusiastic team of engineers and data scientists, that shares a mutual vision
  • you will work agile with pair programming, code reviews and continuous deployment
  • you get the chance to develop your skills and acquire new ones
  • you are interested in data topics and machine learning
  • with your knowledge and motivation you determine the direction in which the team develops and influence decisions in development
  • you are eager to collaboratively share your expertise with colleagues

Requirements

solution-oriented individual with a passion for recommendation and innovation

  • you are proficient in JavaScript/TypeScript and JS integrations included on 3rd party HTML pages
  • you have worked with a modern frontend framework/library such as React
  • you are familiar with REST and/or GraphQL APIs
  • you can build, deploy and run your code in the cloud (ideally you already have experience with GitHub actions and AWS)
  • open to learn Golang and Python to support the backend development
  • you let your ideas and concepts flow into the continuous optimization and improvement of the products and evaluate the results
  • you’re embracing a “you build it, you run it” mentality

 

Axel Springer News Media National

Axel Springer News Media National

A Media and Technology company headquartered in Berlin, Germany focused on creating a diverse and inclusive work environment.

Media
Technology

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