ResearchScientist-VisionLanguageModel

## Position Summary As a Research Scientist in the Vision Language Model (VLM) team, your role will be central to advancing state-of-the-art multimodal foundation models that integrate visual understanding, reasoning, and agentic capabilities. You will work on the research and development of large-scale VLM systems, spanning model architectures, data recipes for pre-training and post-training, and evaluation benchmarks. The role combines cutting-edge research with practical engineering, emphasizing large-scale data processing, filtering, and weighting pipelines, distributed training systems, and reinforcement learning algorithms and systems for multimodal reasoning and agent development. ## Key Responsibilities Research and development of next-generation Vision Language Models across pre-training, instruction tuning, reasoning, and agents. Develop novel architectures and training methodologies for integrating visual understanding, language reasoning, and tool-use capabilities. Research efficient multimodal learning techniques, including data-efficient training, long-context modeling, model modularity, and inference optimization. Build and improve large-scale multimodal datasets, synthetic data generation pipelines, and evaluation benchmarks for VLM capabilities. Investigate multimodal reasoning, agentic behavior, OCR, grounding, document understanding, chart understanding, and visual question answering capabilities. Contribute to technical reports, research publications, and open-source software. Represent MBZUAI at research conferences and industry events, showcasing advancements in multimodal foundation models and large-scale AI systems. Mentor junior researchers and collaborate across teams to drive impactful research initiatives. ## Academic Qualifications PhD or equivalent research experience in Machine Learning, Computer Vision, Natural Language Processing, or Multimodal AI.