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Tue Apr 09 2024

Senior Data Scientist - Generative AI (all genders)


Germany (Berlin) Hybrid


Employment Type: Full-time
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Job Description

Babbel is the top-selling language learning platform globally. We are driven by our purpose of creating mutual understanding through language. Through the , classes, , and products, we provide learners with the most effective solutions, enabling them to communicate in real-life scenarios with real people.

The Babbel team is as diverse as our content. With headquarters in Berlin, Germany and our US office in New York, we're a team of 1,000+ people from over 80 different nationalities.

For more information about Babbel and our language learning solutions, please visit or download our app from the or .

We are looking for a Data Scientist for one of our Product Teams.

You will:

  • Use generative models to create novel personalized content relevant to language learning (e.g. phrases, vocabulary, conjugations).
  • Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
  • Accompany the adoption of our solutions from proof-of-concept to production readiness.
  • Ensure that generative models produce accurate and ethical outputs by validating them with real-world benchmarks and systems.
  • Stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques to identify opportunities to integrate them into our products and services.

You have:

  • Degree in a field related to ML and AI (Computer Science, Mathematics, Computational Linguistics, etc.).
  • Effective verbal and written communication skills with non-technical and technical audiences.
  • 3+ years of professional experience in applying NLP and ML techniques to real-world problems.
  • Interest in language learning, the relevant jargon and semantics.
  • Pragmatic approach to the challenges associated with the transition of a prototype into a scalable product.
  • Proficiency in Python (Pandas, Numpy, Matplotlib, Scikit-Learn, Scipy, etc.).
  • Hands-on experience with machine learning frameworks such as PyTorch, Keras, and JAX.
  • Experience in applying and fine-tuning pre-trained models (GPT, BERT, etc.).
  • Experience with NLP techniques and tools, such as SpaCy, NLTK, or Hugging Face.
  • Knowledge of deep learning techniques (VAE, GANs) and architectures (RNNs, CNNs, LSTM, Transformers, etc.).
  • Experience in selecting appropriate datasets to evaluate supervised & unsupervised learning models.

Nice to have:

  • Experience in NLG.
  • Relevant scientific publications.

Some perks of becoming a Babbelonian:

  • Enjoy 30 vacation days and the chance to take a 3-month Sabbatical. Plus family and life situation counseling.
  • Decide how, when and from where you want to work with our flexible working hours and remote friendly options as Jobbatical (up to 3 months inside the EU) or work from our fully equipped office with nap, faith and family rooms.
  • Learn and grow with the internal learning opportunities, and use a yearly learning & development budget for external training. Learn languages with Babbel for free with your full access to Babbel & Babbel Live classes.
  • Take advantage of your mobility benefits options and a discounted Urban Sports Club membership.
  • Be part of our employee communities (such as Femgineers, DE&I Ambassadors and LGBTQIA groups), attend cultural and regular social events.

Diversity at Babbel
As part of our ongoing journey towards building a diverse, equitable and inclusive company, we welcome everyone to apply, especially those individuals who are underrepresented in tech. We are a learning company, inside and out, and we encourage you to apply even if you do not fit all the technical requirements - all candidates are assessed based on skills, qualifications and on our business needs. Please state your pronouns in your application, and let us know if you’d like to be addressed by a name other than the one appearing on your official documents. If you have a disability or special need, feel welcome to inform us, so that we can provide you with the proper assistance in the application process.

Sounds good? We are already looking forward to hearing from you! Check out also , and to get an impression about !

Apply for this job
🍀 Please mention you found the job on EU Data Jobs. It helps us reach out to more companies. We wish you lots of success! 🍀

About the Company

Babbel is the top-selling language learning platform.

Driven by our purpose – to create mutual understanding through language – we build products that help people connect and communicate across cultures. Through self-study lessons with Babbel, instructor-led live classes with Babbel Live, Babbel for Business, our own podcast series, and our magazine, our users can focus on using a new language in real situations with real people. And it works: studies with Yale University, City University of New York, and Michigan State University prove that Babbel gets users to speak with confidence.

The key is a blend of humanity and technology. More than 60,000 lessons in 15 languages are hand-crafted by more than 200 linguists, and user behaviour is constantly analysed to shape and improve the learner experience.

The Babbel team is as diverse as our content. Based in Berlin, Germany, and New York, USA, 1,000+ Babbelonians from over 80 nationalities represent the diverse backgrounds, characteristics, and perspectives that make each person unique. Building genuine connections with our users is what sets Babbel apart, making it the world's leading language-learning platform with more than 16 million subscriptions sold.

Founded in 2007 as the pioneering online language learning platform, we've grown steadily over the years. In 2023, Babbel was honoured with a place on Fast Company's list of the World's Most Innovative Companies, ranking 4th in the Education category.


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