Deep Learning Engineer

5 days ago


Singapore NTU (Nanyang Technology University- Main Office-HR) Full time

We are seeking an experienced Research Engineer II to join our team at NTU Singapore. As a key member of our project team, you will contribute to the development of novel methodologies for uncertainty quantification in Large Language Models.

About the Role

This fixed-term position offers the opportunity to work on cutting-edge research projects and collaborate with an interdisciplinary team of experts in AI, Data Science, and Computer Science.

The ideal candidate will have a strong background in computer science, statistics, or a closely related field, with a proven track record of publications in machine learning or related fields.

Key Responsibilities
  • Set up and maintain the project's compute infrastructure, ensuring that these meet the needs of the project.
  • Maintain the project's internal communication infrastructure to facilitate effective collaboration among researchers.
  • Contribute to novel methodologies for uncertainty quantification in Large Language Models, including developing new ideas, acting as a source of information and advice, enabling large scale research implementations, managing research experiments, contributing to writing research papers, leading on open sourcing research code, and presenting outcomes at international conferences.
Requirements
  • Close to completion or holds a MSc or above in a relevant technical subject.
  • Possess strong publication track record in machine learning or related fields.
  • Possess sufficient specialist knowledge, research skills, and interests in deep learning and large language models to work within established research programmes.
  • Possess strong technical knowledge and abilities of deep learning and large language modelling frameworks, popular open source codebases, and LLM APIs.
  • Possess strong motivation and interests in developing computational infrastructure to enable large scale implementations and experimentations in large language models.
  • Possess strong collaboration abilities and excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.


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