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Job Description
AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).
The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.
AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).
The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.
We are looking for a Senior AI Engineer to join AI Singapore to lead the evaluation efforts in the Applied Research for Foundation Models team in AI Products.
Duties & Responsibilities
- Support the development of NLP products for Southeast Asian languages, with a focus on foundation models and linguistically-motivated approaches.
- Lead efforts on the evaluation of large language models, including research, experimentation, implementation and data creation where applicable.
- Keep abreast of latest developments in NLP for low-resource languages, evaluation approaches etc.
- Collaborate with various parties both within and outside of Singapore on research and software development
Qualifications
- Bachelor or Masters in Computer Science, Machine Learning, AI, Statistics, Mathematics, Engineering or Social Sciences
- Background in linguistics is highly preferred
- Competency in a Southeast Asian language, or knowledge of multiple languages is strongly preferred
- Familiar with modern NLP models, including transformer architectures and large language models
- Familiar with a gamut of NLP tasks, including understanding, generation, reasoning tasks etc.
- Familiar with NLP evaluation methods and metrics
- Experienced in NLP model implementations based on PyTorch or Tensorflow/Keras, with some exposure to the setting up of end-to-end pipelines from data preparation to deployment
- Fluent in Python, but other languages such as Java, C++ or Javascript will be a bonus
- Have a good grasp of the fundamentals of Machine Learning
- Knowledge and experience in Software Engineering will be beneficial (e.g. Agile framework, Frontend/Backend development, Git)
- Some knowledge of DevOps (Docker, Kubernetes, CI/CD) will be a plus
- Team player with good communication skills and passion for technology
