Babbel is the top-selling language learning platform globally. We are driven by our purpose of creating mutual understanding through language. Through the Babbel app, Babbel Live classes, Babbel podcasts, and Babbel for Business 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 www.babbel.com or download our app from the App Store or Play Store. 

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.

• 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 our jobs page, our blog andour techblogto get an impression about #lifeatbabbel!