Job
- Level
- Senior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Köln
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du multimodale und vision Modelle zur Dokumentenübersetzung, arbeitest an Post-Training-Prozessen und führst große Experimente durch, um die Qualität der Übersetzungen zu verbessern.
Job Technologien
Deine Rolle im Team
- 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.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- Deep, hands-on expertise in model post-training, knowledge distillation (teacher-student training), and/or reinforcement learning (RLHF/RLAIF, PPO/GSPO, and reward modeling).
- Strong data-centric instincts for building synthetic-data and preference-data pipelines, Model-as-judge generation, data curation and filtering, data augmentations, and/or reasoning about data mixtures and ablations.
- A hands-on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real-world quality.
- Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities.
Erfahrung
- Proven experience with developing multimodal models, VLM, and/or vision models.
- Ability to lead complex research efforts, to communicate clearly and collaborate across teams, while staying grounded in product impact, user experience, and real-world performance.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
DeepL GmbH
Die DeepL GmbH ist ein führender Anbieter für maschinelle Übersetzung. Dank unserer bahnbrechenden Deep Learning Technologie liefern wir qualitativ hochwertige Übersetzungen in kürzester Zeit. Unsere Firmenzentrale befindet sich in Köln und wird von der DeepL SE betrieben.
Description
- Unternehmenstyp
- Digitale Agentur
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Internet, IT, Telekom
Senior Research Scientist
- Ort
- Köln
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
