Company
Technology
AIResearchInternship-WM
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Research Internship - WM. Skills: Foundation models, AI development. Collect training datasets. Prepare training datasets”
Industry & Context.
Strategic problem-solving; Innovative problem-solving
What They're Looking For.
Must Have
Master's or Ph.D. in Computer Science, Master's or Ph.D. in Data Science, Master's or Ph.D. in Artificial Intelligence, Master's or Ph.D. in Applied Mathematics, Master's or Ph.D. in Statistics, Master's or Ph.D. in related quantitative field
Nice to Have
Ph.D. preferred
What You'll Do.
Collect training datasets
Prepare training datasets
Process training datasets
Collect validation datasets
Prepare validation datasets
Process validation datasets
Design model architectures
Tweak model architectures
Implement testing frameworks
Assess model performance
Analyze model outputs
How You'll Work.
Team & Collaboration
Team collaboration
Full Job Description
## Description About the Institute of Foundation Models We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Key Responsibilities This intensive, short-term internship offers a unique opportunity for aspiring AI engineers to; • Collect, prepare and processing training and validation datasets. • Assist in designing and tweaking model architectures. • Implement testing frameworks to assess model performance. • Analyze model outputs for accuracy and bias. • Participate in the review and refinement of AI algorithms. • Document findings and procedures for team collaboration. Academic Qualifications Currently pursuing or recently completed a Master's, or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.
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