Green AI Research Engineer I

Nanyang Technological University Singapore; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

NTU's Alibaba-NTU ANGEL Lab is seeking a Research Engineer to advance Green AI, focusing on efficient ML, LLMs, and sustainable computing. You will work at the intersection of AI research and engineering with multidisciplinary teams.

You will design algorithms, run experiments, publish results, and translate research into deployable green technologies. Strong Python and PyTorch/TensorFlow skills are required; distributed training experience is a plus.

Qualifications

• Bachelor's in Computer Science, AI, Data Science, Electrical Engineering or related discipline.
• Strong background in machine learning, deep learning, and large language models.
• Experience with large-scale datasets and distributed model training.
• Strong programming skills in Python.
• Experience with PyTorch or TensorFlow.
• Strong analytical and problem-solving abilities.
• Good written and verbal communication skills.

Responsibilities

• Support the design, development, and implementation of novel ML and LLM algorithms for Green AI applications.
• Support research of efficient AI techniques including model optimization, parameter-efficient fine-tuning, self-training, RAG, prompt engineering, and efficient inference.
• Conduct experiments, benchmark algorithms, and analyze performance using rigorous scientific methodologies.
• Contribute to publications in leading AI conferences and journals.
• Collaborate with cross-functional teams to translate research outcomes into deployable technologies.
• Stay abreast of developments in Green AI, foundation models, code intelligence, and AI systems.

Skills

Python

Large Language Models

Distributed Training

Research

PyTorch

Deep Learning

Education

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

Tools

PyTorch

TensorFlow

Job description

NTU's Alibaba-NTU ANGEL Lab is seeking a Research Engineer to advance Green AI, focusing on efficient ML, LLMs, and sustainable computing. You will work at the intersection of AI research and engineering with multidisciplinary teams.

You will design algorithms, run experiments, publish results, and translate research into deployable green technologies. Strong Python and PyTorch/TensorFlow skills are required; distributed training experience is a plus.