Research Engineer – World Modelling

Job Purpose

MBZUAI is looking to recruit a Research Engineer to design and maintain scalable video data pipelines, develop robust preprocessing and annotation workflows for world model training, and optimize distributed systems supporting multimodal foundation models. The successful candidate will enhance inference efficiency for real-time interaction, integrate research prototypes into production-ready systems, and contribute to rigorous quantitative evaluations of model performance.

Key Responsibilities

• Design, implement, and maintain scalable video data pipelines to support large-scale training.
• Develop data preprocessing, transformation, and synthesis workflows to support world model training.
• Contribute to building high-quality data annotation pipelines to ensure accurate and consistent labels across large-scale datasets.
• Support the training of multimodal foundation models by developing and optimizing distributed training systems.
• Improve inference and serving efficiency for real-time interaction through model optimization and system tuning.
• Monitor system health and performance and contribute to debugging and optimization at scale.
• Work closely with research teams to translate experimental ideas into reliable engineering solutions.
• Integrate novel research prototypes into production-ready systems.
• Participate in design and code reviews.
• Contribute to the development of tools and infrastructure to evaluate model performance using rigorous quantitative benchmarks.
• Maintain and extend shared codebases and support onboarding of new team members.
• Write clean, efficient, and well-tested code.