Senior AI Engineer (f/m/d)

Permanent employee, Full or part-time · Berlin

Our offer for you
  • Long weekends: Since April 2022 we are on a four day work week, which means that Fridays are off for everybody. Enjoy your time off and return to work fresh and relaxed. 
  • Remote Work first: It is on you to decide whether to work remotely or from our office in Berlin Mitte. But we appreciate seeing you every now and then and having a chat over a joint lunch. 
  • Keep moving: We subsidize Urban Sports Club memberships. 
  • Meet the team: Enjoy meeting your international colleagues for regular team events. 
  • Take care of your friends and family: We offer a flexible working environment that enables you to combine work and your personal life.  
Your responsibilities
  • Design, code and deploy highly scalable machine learning systems taking into consideration the trade-off between model improvement vs. scalability. 
  • Adapt standard machine learning methods to best exploit modern parallel environments.
  • Code deliverables in tandem with the rest of the tech team.
  • Help drive optimization, testing, and tooling to improve quality.
  • Learn and teach about state of the art computational statistics techniques. 
  • Research, implement and test your own ideas on how to improve our current models. 
  • Be a teamplayer: The best results are achieved when working together in a team. We’re looking for true teamplayers who enable and support each other. 
About you
  • Deep understanding of machine learning and (deep) neural networks, preferably also NLP and recommendation systems 
  • High interest in state-of-the-art research on deep learning 
  • Experience with Python (including TensorFlow or PyTorch) 
  • Experience with version control as Git
  • You know the difference between software developed as a tool for your research, and software developed for use in production by customers – you are interested in both 
    Nice to have  
  • Experience with test-driven development 
  • Interest in privacy-preserving AI  
  • Experience in open-source projects 
  • Interest in edge computing 
About us
At Xayn the goal of our international team of more than 30 people is to provide users with a privacy-protected gateway to the Internet. Our private search engine presents users with personalised search results and a curated news stream – without ads or data collection. Xayn is based on decentralised edge AI made in Europe and ushers in a new generation of user-friendly privacy tech. 

Xayn started as a research project at The University of Oxford and Imperial College London by Leif-Nissen Lundbæk (PhD) and Professor Michael Huth. Together with Felix Hahmann, they founded the tech company in 2017. 

We received investment funding of 19.5 million EURO from Global Brain Corporation, KDDI Open Innovation Fund, Earlybird as well as Dominik Schiener. Xayn has worked with corporations such as Porsche, Daimler, Deutsche Bahn, and Siemens. 

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