Research Intern (LLMs)
IRG_M3S_T3I_2025_003
Job Description
We are seeking highly motivated and talented research engineer interns interested in advancing the state of the art in data-efficient machine learning at SMART in the new program: Mens, Manus, and Machina: How AI empowers people and the city in Singapore (M3S).
With the recent emergence of large language models (LLMs), the research engineer interns will be assisting the researchers in investigating how to apply data-efficient and resource-efficient technologies in the context of LLMs, among others. We are interested in, but not limited to, technologies such as AutoML, Bayesian optimization, neural architecture search, data valuation, meta-learning, and active learning, with their applications on LLMs.
Responsibilities
- Research topics related to data-efficient machine learning and investigate how these concepts and important issues are related to LLMs.
- Be hands-on to develop, implement algorithms, and evaluate experiments to characterize the feasibility and performance of the proposed research ideas.
- Collaborate with other research staff and students to publish research results in top-tier conferences and journals, focusing on venues associated with the above-mentioned areas.
The research engineer intern will be based at SMART (Singapore-MIT Alliance for Research & Technology) in Singapore.
For more information on our research group and interests, visit
https://danielarus.csail.mit.edu/
https://www.comp.nus.edu.sg/~lowkh/index.html
Requirements
- Strong proficiency in programming.
- Experience with modern machine learning pipelines.
- Experience with popular deep learning libraries (e.g., pytorch, transformers).
- Studies in a bachelor/master degree programme in related fields, e.g., computer science, computer engineering, machine learning, statistics, math, data science, operations research or other related disciplines.
This internship is only open to full-time matriculated or registered students in the six autonomous universities Singapore. The internship must be approved by the University.