Job Purpose:
As a Research Scientist specializing in Computer Vision your role
will be crucial in advancing cutting-edge computer vision
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 Computer
Vision solutions, with a particular emphasis on Python coding,
machine learning techniques, and deep learning methodologies.
Key Responsibilities:
- Lead the research of technology for improving efficiency in
Computer Vision models while performing target capabilities or
supporting many capabilities, such as novel architectures and
improved pre-training.
Design and implement Computer Vision 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 Computer Vision algorithms to work with
other models such as LLMs
Identify defined problems/gaps in existing technology and
engage other Research teams, stakeholders and leaders to expand
efficient Computer Vision 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 Computer Vision
experience.
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).
- Knowledge of algorithms, including one or more of the
following: imaging, computer vision, computer graphics, or parallel
computation.
- 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:
- Knowledge of modern deep learning techniques and Generative AI
for photography.
- 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).
