Senior Multimodal Translation Research Scientist

Senior Multimodal Translation Research Scientist

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
D

At a Glance

  • Tasks: Lead groundbreaking research in multimodal translation and document layout models.
  • Company: Join DeepL, a leader in AI-driven translation technology.
  • Benefits: Attractive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative team environment with a focus on innovation and creativity.
  • Why this job: Make a significant impact in the field of AI and document translation.
  • Qualifications: Proven experience in research, model development, and large-scale experimentation.

The predicted salary is between 60000 - 80000 Β£ per year.

DeepL in London is seeking a Senior Research Scientist to lead fine-tuning, post-training, and RLHF efforts for our 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 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.

Senior Multimodal Translation Research Scientist employer: DeepL

DeepL is an exceptional employer that fosters a collaborative and innovative work culture, where engineers are empowered to take ownership of their projects and contribute to meaningful identity solutions. Located in a vibrant tech hub, employees benefit from continuous growth opportunities, competitive compensation, and a supportive environment that values creativity and teamwork. Join us to be part of a forward-thinking company that prioritises both personal and professional development.

D

Contact Details:

DeepL Recruitment Team

We think you need these skills to ace Senior Multimodal Translation Research Scientist

Fine-Tuning
Post-Training
Reinforcement Learning from Human Feedback (RLHF)
Multimodal Models
Vision Models
Prototyping
Large-Scale Experimentation