Computational linguist

The publishing house Bibliographisches Institut GmbH (BI), based in Berlin, belongs to the internationally active Cornelsen Group and is a leading provider in the field of knowledge transfer and knowledge maintenance, including with the traditional publishers Duden and Meyers. In addition to standard works on the German language, award-winning software and learning aids distinguish the publishing program. For our e-business area, we are looking for a location in Berlin as soon as possible Computational Linguist (m/f/d)

• Dealing with rule-based, statistical and machine learning methods in the NLP and NLU area
• Development of tools and AI models for our next generation of writing assistants
• Development of procedures for fully or semi-automatic annotation of text corpora for use in machine learning or the creation of word statistics
• Dealing with large text corpora and large lexical resources

• Ideally, you have a degree in computational linguistics, applied computer science or a comparable degree with a supplementary, linguistic basic education
• You can get excited about text analysis and language
• For example, you have gained your practical experience in linguistic data processing in the following areas:
  • complex NLP systems
  • Corpus Linguistics
  • machine learning
• You are proficient in Python
• With know-how in C / C ++, Prolog and dealing with SQL databases you can also score points
• Your knowledge of German is very good
• You can and want to take responsibility and you like to familiarize yourself independently with complex issues
• You enjoy teamwork

• Demanding and varied challenges in an environment with high social relevance
• A very good and friendly working atmosphere
• Numerous discounts and attractive conditions, e.g. Discounts on book products, grants for the care of your children, for the use of local public transport as well as for the daily changing offers in the company canteen
• Diverse types of further development from online further training to internal and external training for employees and teams to comprehensive in-house further training and further training
• 30 days of vacation and flexible working hours, so that you can work and balance private life well