AI Researcher

3 days ago


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

As a Research Engineer II at NTU Singapore, you will be part of a leading college known for its excellent curriculum and outstanding research in AI and Data Science.

About Us

NTU Singapore is ranked among the world's top universities, with a strong focus on research-intensive programmes. Our College of Computing and Data Science (CCDS) aims to groom the next generation of leaders, thinkers, and innovators in the digital age.

We are seeking a highly motivated Research Engineer II to work on uncertainty quantification in Large Language Models. As a member of our project team, you will play a key role in setting up and maintaining the project's compute infrastructure and collaborating on research pertinent to the project.

Key Responsibilities
  • Work with the project team to 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 enable effective collaboration among researchers across all three universities.
  • Collaborate with the project team on research pertinent to the project, including contributing to novel methodologies, 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
  • Closely related field: MSc or above.
  • 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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