Job
- Level
- Senior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Cologne
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop multimodal and vision models for document translation, work on post-training processes, and conduct large-scale experiments to enhance translation quality.
Job Technologies
Your role in the 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.
- Führen Sie die Entwicklung von Vision- und multimodalen Modellen für Dokumenten-, Bild- und Medienübersetzungen voran, die von Medienaufnahme und -generierung bis hin zu End-to-End-Modellen reichen.
- Führen Sie praktische Forschung und Entwicklung im Bereich des Post-Trainings für unsere Vision- und/oder multimodalen Modelle durch: überwachte Feinabstimmung, Knowledge Distillation, Präferenzoptimierung und Reinforcement Learning, abgestimmt auf die Übersetzungsqualität.
- Develop 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.
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Our expectations of you
Qualifications
- 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.
Experience
- 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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
DeepL GmbH
DeepL (Deep Learning) is an online service for machine translation. We, DeepL GmbH, are at the forefront of providing high-quality translations in record time, thanks to our groundbreaking Deep Learning technology. Based in Cologne, our company is operated by DeepL SE.
Description
- Company Type
- Digital Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Research Scientist
- Location
- Cologne
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
