Green AI Research Engineer - LLMs & Efficient ML

Nanyang Technological University; Singapore; On-site; SGD 90,000 - 135,000; Full time

Job summary

Nanyang Technological University (NTU) in Singapore invites applications for a Research Engineer to advance Green AI for sustainable computing. You will contribute to LLMs, efficient ML, and deployment-ready AI systems at the ANGEL lab.

Collaborating with multidisciplinary teams, you will design experiments, benchmark methods, and publish findings in leading conferences, translating research into scalable technologies for global impact.

Qualifications

• Bachelor's degree in a related discipline and strong ML background.
• Experience with large language models and efficient AI techniques.
• Proficiency in Python and modern DL frameworks.
• Experience with large-scale datasets and distributed training.
• Excellent written and verbal communication.

Responsibilities

• Develop Green AI algorithms for efficiency and scalability.
• Experiment, benchmark, and analyze model performance.
• Translate research into deployable AI systems.
• Collaborate with interdisciplinary teams and publish findings.
• Stay updated on Green AI and foundation models.

Skills

Python

Machine learning

Large language models

PyTorch

TensorFlow

Distributed training

Research communication

Education

Bachelor's degree in Computer Science, AI, Data Science, Electrical Engineering or related

Tools

PyTorch

TensorFlow

Job description

Nanyang Technological University (NTU) in Singapore invites applications for a Research Engineer to advance Green AI for sustainable computing. You will contribute to LLMs, efficient ML, and deployment-ready AI systems at the ANGEL lab.

Collaborating with multidisciplinary teams, you will design experiments, benchmark methods, and publish findings in leading conferences, translating research into scalable technologies for global impact.