Senior Research Scientist | Multimodal Systems

Deepl·Londonsenior

In short

→Liderazgo en investigación de modelos multimodales y visuales para traducción de documentos.
→Desarrollo práctico de técnicas como fine-tuning, RL y optimización de preferencias, con enfoque en calidad de traducción.
→Impacto directo en productos en producción a escala global, con autonomía para prototipar y desplegar modelos.

Fluency in English is required.

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

What they ask for

✓Experiencia comprobada en desarrollo de modelos multimodales, VLM o visuales.
✓Experto en fine-tuning, post-training, RL y optimización de preferencias.
✓Habilidades prácticas en evaluación, reproducibilidad y monitoreo de modelos.
✓Experiencia en el ciclo completo de vida de modelos: prototipado, entrenamiento, evaluación, despliegue.
✓Capacidad para liderar direcciones de investigación con impacto operativo.
✓Colaboración estrecha con ingenieros y equipos de producto.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Vision and multimodal modelsVLMSupervised fine-tuningKnowledge distillationPreference optimizationReinforcement learningEvaluation modelsRubric-based gradingReference-based gradingProduction deployment

Who should you write to at Deepl?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw “Jarek” Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you’re ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We’re a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it’s like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL on LinkedIn , Instagram , and our Blog . Meet the team behind this journey: Language AI Our Language AI teams form the foundation of DeepL's success. We are a dedicated group of researchers who collaborate closely with engineers, product managers, and designers. Our mission is to build the world's leading language AI system to deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company. Your responsibilities We are looking for a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for the next generation of DeepL's document translation multimodal and vision models. This is a high-impact, hands-on role for a researcher who can own a major research direction, prototype rapidly, run large-scale experiments, and drive breakthroughs all the way into production. You will develop models that reason about document layout by fusing expert, real world and synthetic data, while leading efforts to make our translation highly steerable and adaptable. You will: Drive the development of vision and multimodal models for document, image and media translation, ranging from media ingestion and generation to end-to-end models. Drive hands-on research and development on post-training for our vision and/or multimodal models: supervised fine-tuning, knowledge distillation, preference optimization, and reinforcement learning tuned to translation quality. Build evaluator models for document and design quality, including rubric- and reference-based grading, and investigate and mitigate reward hacking and quality-estimation failure modes. Own the full lifecycle of model delivery: prototyping, ablations, training, evaluation, optimization, and production deployment, working closely with engineering to ship into real-time systems at scale. Establish strong practices for evaluation, reproducibility, monitoring, and continuous model improvement in production. Qualities we look for Proven experience with developing multimodal models, VLM, and/or vision models.

Looking for something similar?

Leave your email and we'll alert you when matching jobs appear.

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.