Research Scientist

About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.   As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.    
The Role   As a Research Scientist in the Data team, your primary responsibility is to curate high quality data at the web-scale to fuel the development of next generation foundation models. You will work on exploring andconsolidatingdata sources and collaborate with cross-functional teams to conduct in-depth data research, contributing to MBZUAI’s mission of driving impactful AI discoveries and positioning the institution as a leader in the global AI research community. Your expertise will be key in enhancing the performance of large-scale machine learning models, while supporting the development of transformative AI tools that can influence industries worldwide. 

Key Responsibilities

• Pioneer web-scale data collection and curation methodologies for LLMs and multi-modal foundation models. 
• Design and implement novel data synthesis pipelines for code, mathematics, and agentic reasoning datasets. 
• Trace the impact of data from pre-training to final model capabilities and create automated quality assessment frameworks for massive datasets 
• Design data recipes that maximize model capabilities across diverse domains. 
• Optimize data-model co-design for improved training dynamics. 
• Contribute to research papers and represent MBZUAI at industry conferences and events, showcasing the institution’s AI research and innovation. 

Academic Qualifications

• Minimum: Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required. 
• Preferred: PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on LLMs and data is preferred. 

Professional Experience

• Experience working with large language models, including evaluation, fine-tuning, and prompt engineering.