Green AI Research Scientist: Sustainable LLMs

Aimlroles; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

ANGEL, the Alibaba-NTU Global e-Sustainability CorpLab, seeks a Research Scientist to advance efficient and sustainable AI. You will work with interdisciplinary researchers to develop foundation models that balance performance and environmental responsibility.

You will conduct Green AI research on efficient training, inference, retrieval, and deployment of large language models and multimodal systems, publish in top venues, and translate innovations into real-world sustainability solutions.

Qualifications

• PhD in AI/CS/ML/NLP/Data Science or closely related field.
• Strong research background in LLMs, Green AI, and scalable ML.
• Strong publication record in reputable venues.
• Strong programming skills in Python and PyTorch/Hugging Face.
• Ability to work independently and collaborate across multidisciplinary teams.

Responsibilities

• Conduct research in Green AI focusing on efficiency, scalability, and sustainability of large AI models.
• Design and develop novel algorithms for efficient training, inference, retrieval, and deployment of LLMs and multimodal foundation models.
• Develop AI technologies that contribute to sustainability applications.
• Publish research findings in leading AI conferences and journals.
• Collaborate with internal and external partners to deliver innovative Green AI solutions.
• Mentor junior researchers and contribute to research proposals and strategic initiatives.

Skills

LLMs

Green AI

Distributed AI

Model serving

Research publication

Education

PhD in AI/CS/ML/NLP/Data Science

Tools

PyTorch

Hugging Face

Job description

ANGEL, the Alibaba-NTU Global e-Sustainability CorpLab, seeks a Research Scientist to advance efficient and sustainable AI. You will work with interdisciplinary researchers to develop foundation models that balance performance and environmental responsibility.

You will conduct Green AI research on efficient training, inference, retrieval, and deployment of large language models and multimodal systems, publish in top venues, and translate innovations into real-world sustainability solutions.