Research Scientist – Computer Vision

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.

• 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.

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

• PhD or equivalent research experience in Computer Vision
  .

• 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.

• 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).