Senior Research Scientist

DeepL; Köln; Hybrid; EUR 65.000 - 90.000; Vollzeit

Zusammenfassung

A leading Language AI company is seeking a Research Scientist in Köln to innovate and build advanced AI models. The role involves designing and deploying state-of-the-art models, training neural networks, and collaborating across teams. Candidates should have a strong technical foundation, proficiency in Python, and a PhD or equivalent experience. This position offers a hybrid work model, competitive benefits, and is part of a diverse team dedicated to improving communication through technology.

Leistungen

30 days of annual leave

Flexible working hours

Virtual Shares

Regular team events

Competitive benefits

Qualifikationen

• Solid mathematical background with a PhD, Master’s or equivalent industry experience.
• Deep practical experience in Python and knowledge of modern frameworks.
• History of leading self-directed research projects with tangible results.

Aufgaben

• Design and deploy state-of-the-art AI models for translation and voice processing.
• Train neural networks at scale on dedicated GPU clusters.
• Manage the entire lifecycle of research from modeling to deployment.

Kenntnisse

Python

Neural Network Understanding

Research Project Management

Mathematics

English Proficiency

Ausbildung

PhD or Master's in Computer Science, Mathematics, Physics, or related field

Tools

PyTorch

JAX

TensorFlow

Jobbeschreibung

Overview

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.

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. Being part of DeepL means joining a team dedicated to innovation and employee well-being.

The Opportunity: Define the Future of Communication

We are looking for passionate Research Scientists to join our core AI pillars. This unified role covers three of our most critical research areas. Depending on your expertise and interest, you will join one of the following teams:

• Language AI: Building the world’s leading translation and text-improvement systems, taking responsibility for the entire model lifecycle from data to deployment.

• Foundation Model Task Adaptation (FMTA): Shaping how our models learn beyond pre-training. You will focus on RLHF, alignment, and post-training to enable new reasoning and controllability capabilities.

Voice AI: Solving the "art of the possible" for real-time voice communication, including transcription, speech-to-speech translation, and low-latency audio generation.

Your responsibilities

• Innovate & Build: Design and deploy state-of-the-art AI models—whether for translation, large-scale model alignment (RLHF/RLAIF), or multi-modal voice processing.

• Scale at Speed: Train neural networks at scale on DeepL’s dedicated GPU clusters, pushing the boundaries of performance while optimizing for low-latency production environments.

• End-to-End Ownership: Manage the entire lifecycle of research from theoretical modeling and prototyping to ablation studies and production deployment.

• Collaborate Globally: Work with ML Platform, HPC, and DevOps teams to integrate research into a robust infrastructure that serves millions of users.

• Advance the Field: Lead research initiatives that improve our mathematical understanding of neural networks, ensuring reproducibility and high scientific standards.

• Operational Excellence: Participate in on-call rotations (specific to Voice/Production teams) to ensure reliability of global AI services.

Qualities we look for

We seek researchers with a strong practical background and a passion for solving hard problems with real-world impact.

• Technical Foundation: A solid mathematical background with a PhD, Master’s, or equivalent industry experience in Computer Science, Mathematics, Physics, or a related field.

• Engineering Proficiency: Deep practical experience in Python and at least one modern framework (PyTorch, JAX, or TensorFlow) evidenced through significant research projects or internships.

• Research Track Record: A history of leading self-directed research projects that deliver tangible results including academic publications.

• Domain Expertise: Specialized experience in at least one of the following would be beneficial:

• Large-scale LLM post-training and alignment (RLHF, RLAIF, RLVR).

• Neural Machine Translation (NMT) and text modeling.

• Voice/Audio modalities (ASR, TTS, or Speech-to-Speech).

Production Mindset: Proven experience scaling and shipping large-scale deep learning models to production is a significant plus.

Communication: High proficiency in English; additional languages are a plus.

Execution & Autonomy: A history of taking ownership over technical tasks—from initial experimentation to stable code—with the ability to work independently.

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 are a growing team with offices in multiple countries and a distributed workforce.

• Open communication, regular feedback: we value clear, honest communication, smooth collaboration, direct feedback, and a growth mindset.

• Hybrid work, flexible hours: hybrid schedule with in-office presence several days a week and flexible hours.

• Virtual Shares: An ownership mindset in every role; every employee receives Virtual Shares tied to DeepL’s growth.

• Regular in-person team events: team gatherings, onboarding, and company-wide events.

• Monthly hacking sessions: Hack Fridays to explore projects with other teams.

• 30 days of annual leave: 30 days off (excluding public holidays) plus mental health resources.

• Competitive benefits: location-aware benefits to support you wherever you are.

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. Bring your personal experience, perspectives, and background. It’s in our diversity that we will find the power to break down language barriers in the world.