Teamlead (f/m/d) AI and Machine Learning

  • Axel Springer Digital GmbH
  • Berlin, Germany
  • 11/06/2021
Full time Data Science Machine Learning Data Analytics Big Data Data Management Statistics

Job Description

We are looking for passionate and creative people who want to take an active part in shaping the future of journalism within the context of digital media. Are you open to trying new things? Are you confident, driven and clever? Then apply for a role now with Axel Springer National Media & Tech.

As our new AI Team Lead, you’ll help us driving our vision to turn Axel Springer into an AI-first company. Your main responsibilities will be to scope and realize innovative projects with various companies inside Axel Springer such as StepStone, Upday, WELT etc., to create machine learning solutions they will use in production. Moreover, you will look after the health, morale, and efficiency of your team and, ultimately, make it the first-choice entity within Axel Springer regarding AI, see

We are a Cross-functional team developing not only great products such as aravoices but also have a strong emphasis on good software engineering practices.
Become a

Teamlead AI and create innovative machine learning projects together with team leads/Product owners from various Axel Springer subgroups

  • you will help the team define scope, requirements, and features for the projects
  • you will keep your team effective by building and maintaining processes and workflows
  • you collaborate with Machine Learning Developers in your team through GitHub pull requests and code reviews
  • you focus on the professional and personal growth of your team members, including conducting performance and compensation reviews
  • you build and maintain a team of people who trust each other, are not afraid of criticism, are committed and accountable, and who care about results
  • you like to apply Agile and Lean principles in your work
  • you contribute together with your team to the overall vision of AI within Axel Springer

You are a

passionate about AI and a visionary thinking mind

  • you are a teamlead who knows how to make your team work effectively
  • you have gained experience working with deep learning models as well as classical machine learning models including production and deployment
  • you are community-facing and hence, care about open source, conferences, meetups, etc.
  • you still like putting together some code or showcases, in order to bring emerging or running projects to the ramp

Benefit from a

chance of boosting your personal development with seminars, workshops, various conferences and talks

  • regular exchange and networking with subsidiaries of the Axel Springer Group (eg. Awin, idealo, Bonial, Stepstone, Immowelt and many more)
  • work environment with flexible working hours
  • number of vacation days - above average
  • free lunch in our on-site restaurant every day
  • MacBook, which can also be used privately
  • from now a permanent position in a modern office in the heart of Berlin:

Due to the current situation caused by the corona virus, we do job interviews via online video call (e.g. Skype)

Getting curious? Check out what we are doing on GitHub: or check out our Techblog:

Questions and answers about the application process

The most frequently asked questions and their answers can be found on our FAQ page:

Your contact person for this position (reference number 044400584 ) is Ipek Aldemir #LI-IA1

Diversity is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, sexual orientation and identity.

You can find information about the representation for the severely disabled at Axel Springer as well as the contact details here:

Axel Springer National Media & Tech
 is the central pillar for Tech & Product and Central Functions of Axel Springer's German media offerings. We ensure that our strong national brands (including BILD, WELT) are optimally positioned to drive journalism forward. We are looking for new colleagues who are not dizzy at our pace of change and who want to actively shape the future of the media with their own ideas.