Senior Research Scientist | Multimodal Systems
DeepLMachine Translation company
London, United KingdomSenior
IVP
Bessemer Venture Partners
Index Ventures
ICONIQ Growth
Atomico
Teachers' Venture Growth
Data & AI
About the role
TL;DR
Lead research and development for multimodal and vision models in document translation.
- •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.
- •Key Responsibilities Drive the development of vision and multimodal models for document, image and media translation.
- •Drive hands-on research and development on post-training for our vision and/or multimodal models.
- •Build evaluator models for document and design quality.
- •Own the full lifecycle of model delivery.
- •Establish strong practices for evaluation, reproducibility, monitoring, and continuous model improvement in production.
- •Requirements Proven experience with developing multimodal models, VLM, and/or vision models.
- •Deep, hands-on expertise in model post-training, knowledge distillation, and/or reinforcement learning.
- •Strong data-centric instincts for building synthetic-data and preference-data pipelines.
- •A hands-on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production.
- •Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow).
Required skills
PythonPyTorch
Domain expertise
ai
Tech stack
PythonPyTorchJAXTensorFlow