I

Research Scientist, Natural Language Processing (LLMs)

institute of foundation models • United State
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AI Summary

Lead research on improving the efficiency and capabilities of Large Language Models (LLMs) through novel architectures and pre-training techniques. Design and implement NLP algorithms using Python and PyTorch, integrating LLMs with other models like computer vision. Requires a Master's degree in Computer Science or related field with experience in state-of-the-art Gen AI techniques.

Key Highlights
Focus on improving LLM efficiency and supporting multiple capabilities via novel architectures.
Design and implement NLP algorithms for model training, prediction, and optimization using PyTorch.
Collaborate with cross-functional teams and publish research in top-tier AI conferences.

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Key Responsibilities
Lead research on improving the efficiency of Large Language Models (LLMs) while performing target capabilities, including novel architectures and improved pre-training.
Design and implement NLP algorithms for model training and prediction, leveraging ML infrastructure and contributing to model optimization and data processing using PyTorch.
Integrate and improve LLM algorithms to work with other models such as computer vision models.
Identify defined problems or 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.
Write up results in design documents, technical reports, and papers for publication.
Represent the institute at industry conferences and events, showcasing cutting-edge HPC and deep learning capabilities.
Technical Skills Required
Python PyTorch Natural Language Processing

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Benefits & Perks
Comprehensive medical, dental, and vision benefits
Bonus
401K Plan
Generous paid time off, sick leave, and holidays
Paid Parental Leave
Employee Assistance Program
Life insurance and disability

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Nice to Have
PhD or equivalent research experience in Natural Language Processing
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)

Job Description

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.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.
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Job Overview
Posted Date Sep 28, 2026
Employment Type Full-time
Experience Level Not Applicable
Location United State
Category Programming
Company institute of foundation models
Mentioned Skills
python data structures ai c++ natural language processing computer vision c deep learning pytorch machine learning

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