VLM Research Engineer (m/f/d)
Almetra, Onsite Berlin
The role
- Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition
- Build and maintain large-scale training and evaluation pipelines on GPU clusters
- Curate and augment video-text and action datasets, including synthetic labels and retrieval-based augmentation
- Develop robust benchmarks for video QA, instruction following and temporal understanding, and use them to drive iterative model improvements
- Cut and refactor model architectures for efficiency and deployability (compression, pruning, distillation)
- Deliver production-ready inference pipelines to product and customer teams, working closely with CV, platform and robotics engineers
What you need
- Completed PhD (or equivalent research track record) in computer vision, machine learning, robotics or a related field
- Strong background in video-centric deep learning: scene understanding, temporal / activity / action recognition, or video generation