Research Scientist | Language AI

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.

What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together.

What we know for sure is this: being part of DeepL means joining a team dedicated to innovation and employee well‑being. Discover what our teams have to say about life at DeepL on Linked In, Instagram and our Blog.

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

• You will participate in our on‑call rotation:
  You’ll ensure the reliability and availability of our services by being available to join the team's shared on‑call rotation as needed.

• You have a solid mathematical background and enjoy solving challenging problems

• Master's degree, diploma or doctorate in mathematics, physics, or computer science

• Programming experience in Python and at least one other programming language

• Experience with a modern machine learning framework such as PyTorch, Tensor Flow or JAX

• High level of intrinsic motivation and strong interest in Deep Learning

• Hands‑on experience in Deep Learning through self‑directed projects that go well beyond course‑related exercises

• Curiosity, high willingness to learn and the urge to experiment with the latest technologies to create something new

• High proficiency in English, knowledge of German and other languages is advantageous

• Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We’re more than just colleagues; we’re a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we’ve doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network.

• Open communication, regular feedback:…