Senior Research Scientist

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.

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 cont rollability 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.

• 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 Dev Ops 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.

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 Tensor Flow
  ) 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).