Do you want to be part of a startup which addresses the desire for digitized legal solutions? legartis is a legal tech startup that will change the way contracts and other legal documents are analyzed in the German speaking region. If you find that thought as exciting as Machine Learning, Natural Language Processing, and Artificial Intelligence, we may be looking precisely for you. If you are familiar with the legal services market, even better!

You will be joining an experienced and growing engineering team to build innovative products in the Legal Tech space. Primarily, you will be working in Python to build tools and scalable APIs. You will work on platform and application infrastructures for importing documents, performing complex text processing and analysis tasks. Moreover, you will build tools and algorithms to provide low-latency, ad-hoc data insights employing machine learning (ML) and natural language processing (NLP) techniques.

Key duties and responsibilities

Co-develop the product with the team
Apply the latest algorithms in ML & NLP to development of key software features for legal tech products
Develop solutions in text classification, document clustering, document zoning and segmentation, named entity recognition, search, information retrieval, and relation extraction
Develop tools, processes and metrics to evaluate high-quality data pipelines
Develop data annotation processes and guidelines, assist annotators in the annotation process




Skills and requirements

Degree in computational linguistics or computer science with a focus on ML & NLP
Experience with selecting and applying ML & NLP algorithms to build systems that learn from structured and unstructured data
Proficient scientific programmer, preferably in Python (especially scikit-learn), and fluent in statistics and algorithms
Experience with tools in (web-based) text annotation Experience with NLP for the German language
Contributor to software product or research where ML & NLP played a major role, actively following latest ML & NLP trends
Experience with working in agile, product-driven environment
Expertise with TensorFlow, including visualisation using Tensorboard or related Deep Learning framework (Keras, DyNet, PyTorch etc.) is a plus.
Moreover, you are open for development, are honest, have a genuine interest in people, work smart, have passion for innovation, show your commitment and want to enjoy work and have fun while giving your best!

Educational level:


How to apply:

Please mention NLP People as a source when applying


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