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.
Requirements
- Lead research and implementation of reasoning-enhanced LLM capabilities
- Design and implement pipelines to collect, curate, and structure open-source and web-scale data
- Build robust software to support fine-tuning, evaluation, and deployment of LLMs
- Collaborate with ML researchers to create, test, and evaluate new approaches in information retrieval, agentic search, and RAG pipelines
- Rapidly prototype tools, APIs, and infrastructure for enabling LLMs to reason over external information
- Communicate research findings in internal documents and external publications
- Contribute to design/code reviews and foster engineering best practices
- Represent MBZUAI at conferences and forums
Benefits
- Competitive salary
- Opportunities for professional growth and development
- Collaborative and dynamic work environment