MEET DEEPL

DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. And, empower millions of individuals worldwide to make sense of the world and express their ideas.
Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact. To achieve this, we need talented individuals like you to join our exciting journey. If you’re ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination.

MEET THE TEAM BEHIND THE JOURNES

Unlike many other AI research facilities, we actively improve the structure and mathematical optimization of our neural networks. Therefore, we focus on a deep understanding of what happens inside neural networks and their mathematical optimization. A long scientific background in neural networks is not required, but a strong interest and practical experience should be present.
You should have broad programming experience that goes beyond scientific computing. Additionally, you should be familiar with at least one deep learning framework. In short, we are looking for self-motivated and curious researchers who want to learn a lot and enjoy teaching computers awesome things.
We are responsible for the entire life cycle of the machine learning models that power our language AI products. This covers data, training, quality assurance and operational aspects. In our highly collaborative team every scientist has the scope to drive impact across the company.

• You will conduct cutting-edge research on neural translation networks with our team, develop improvements and try them out
• You develop new revolutionary AI technologies for other upcoming projects in the field of NLP