DeepL

Research Scientist | Language AI

DeepL WorkFromHome

Stellenbeschreibung:

DeepL Cologne, North Rhine-Westphalia, Germany

Research Scientist | Language AI

Join to apply for the Research Scientist | Language AI role at DeepL

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.

What Sets Us Apart

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 this journey

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.

Your Responsibilities

  • 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.

Qualities we look for

  • 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, TensorFlow 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

What We Offer

  • 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: as a language‑focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together.
  • Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team’s general locations and time zones to foster effective and seamless collaboration.
  • Monthly full‑day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.
  • 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally.
  • Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.
  • Virtual Shares: An ownership mindset in every role. We believe everyone should share in our success, and that’s why every employee receives Virtual Shares, linking your contribution directly to DeepL’s growth and rewarding you with a stake in our future.

We are an equal opportunity employer

You are welcome at DeepL for who you are—we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.

Seniority level

Associate

Employment type

Full‑time

Job function

Other

Industries

Software Development

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    17 Dez 2025
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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