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Mohamed Bin Zayed University of Artificial Intelligence

LLM Post-Training Research Engineer / Postdoctoral Researcher in NLP and Financial AI Mohamed bin Zayed University of Artificial Intelligence in United Arab Emirates

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

United Arab Emirates

University

Mohamed Bin Zayed University of Artificial Intelligence

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Keywords

Computer Science
Machine Learning
Information Technology
Finance
Natural Language Processing
Statistics
Linguistics
Large Language Models

About this position

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is hiring an LLM Post-Training Research Engineer / Postdoctoral Researcher at IFM, working with Prof. Preslav Nakov’s group.

The role focuses on hands-on work with open-source large language models, especially post-training and alignment methods such as SFT, instruction tuning, DPO, and RLHF. The team is looking for someone who can contribute directly to training, fine-tuning, adapting models, experiments, code, and research, not only prompt engineering.

Relevant interests include machine learning, natural language processing, LLM evaluation, robustness, and alignment evaluation. Experience in Financial NLP or Arabic NLP is a plus.

This opportunity is best suited to candidates with strong ML/NLP engineering experience, including large-scale experimentation and model adaptation. The post explicitly invites strong ML/NLP engineers, postdocs, or PhD graduates.

How to apply: email your CV and representative work to [email protected]. Representative work can include papers, code, training pipelines, fine-tuning projects, or evaluation projects.

Institution: Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates.

Funding details

Available

What's required

Strong experience in SFT, instruction tuning, DPO, RLHF, or related alignment/post-training methods; hands-on experience training, fine-tuning, or adapting open-source LLMs beyond API prompting; strong ML/NLP engineering skills for large-scale experiments; experience with model evaluation, robustness, or alignment evaluation. Financial NLP or Arabic NLP is a plus. The role is aimed at strong ML/NLP engineers, postdocs, or PhD graduates who can contribute directly to training, experiments, code, and research rather than only prompt engineering.

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Professors

Professor

University Name
Country flag

United Arab Emirates

Research Interests

Computational Linguistics

Artificial Intelligence

Deception Detection

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