Research Scientist – NLP

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.

• 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 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.

• Master’s in Computer Science
  , a related technical field, or equivalent practical experience.

• PhD or equivalent research experience in Natural Language Processing
  .

• 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.

• 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).