Job Purpose

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

Minimum Professional
Experience

• 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.

Preferred Professional
Experience

• 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).