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).
