Job summary

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

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 specializing in Natural Language Processing NLP with a focus on large language models and deep learning your role will be crucial in advancing cutting-edge language processing technologies and contributing to the development of intelligent systems

You will be responsible for a wide range of tasks encompassing research development and implementation of NLP solutions with a particular emphasis on Python coding machine learning techniques and deep learning methodologies

Key Responsibilities

• Lead the research of technology for improving the efficiency of Large Language Model LLM while performing target capabilities or supporting many capabilities such as novel architectures and improved pre-training
• Design and implement NLP algorithms for model training and prediction leverage ML infrastructure and contribute to model optimization and data processing using Pytorch or other frameworks
• Integrate and improve LLM algorithms to work with other models such as computer vision models
• Identify defined problems/gaps in existing technology and engage other Research teams stakeholders and leaders to expand efficient LLM technology
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies
• Write up results in design documents technical reports and papers for publication
• Represent MBZUAI at industry conferences and events showcasing the institution's cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation
• Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives

Academic Qualifications

• Minimum Master's in Computer Science a related technical field or equivalent practical experience
• Preferred PhD or equivalent research experience in Natural Language Processing

Professional Experience - Minimum

• Experience with state-of-the-art Gen AI techniques and models e.g LLMs Multi-Modal Large Vision Models or with Gen AI-related concepts e.g language modeling computer vision
• Experience with software development in one or more programming languages e.g Python C++ and with data structures/algorithms
• Excellent problem-solving and troubleshooting skills to address complex technical challenges
• Effective communication and collaboration skills to work with cross-functional teams
• Ability to effectively navigate ambiguity

Professional Experience - Preferred

• Experience leading research efforts and influencing other researchers
• Experience with efficiency modularity or related topics for LLMs
• Experience with ML infrastructure e.g model deployment model evaluation optimization data processing debugging
• Experience with design and optimization of algorithms in performance-constrained environments e.g mobile
• Experience in innovative research contributing to research communities including publishing in forums e.g ACL EMNLP NAACL EACL COLING ICLR AAAI NeurIPS
  

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