Senior Data Scientist - Generative AI all genders

Babbel is the topselling 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 reallife 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 were a team of 1000 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 crossfunctional teams to define AI project requirements and objectives ensuring alignment with overall business goals.
• Accompany the adoption of our solutions from proofofconcept to production readiness.
• Ensure that generative models produce accurate and ethical outputs by validating them with realworld benchmarks and systems.
• Stay uptodate 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 nontechnical and technical audiences.
• 3 years of professional experience in applying NLP and ML techniques to realworld 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 ScikitLearn Scipy etc.).
• Handson experience with machine learning frameworks such as PyTorch Keras and JAX.
• Experience in applying and finetuning pretrained 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 3month 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 youd 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 !