Green AI Research Engineer I

Aimlroles; Singapore; Presencial; SGD 90 000 - 130 000; Tempo integral

Resumo da oferta

NTU's ANGEL lab is seeking a Research Engineer to develop next-generation Green AI technologies, focusing on efficient AI, LLMs, and scalable AI systems for sustainable computing and real-world applications.

You will work at the intersection of AI research, software engineering, and sustainability, collaborating with multidisciplinary teams across academia and industry to translate advances into impactful solutions.

Qualificações

• Bachelor's degree in CS/AI/DS/EE or related discipline.
• Strong background in ML, DL, 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.

Responsabilidades

• Support design, development, and implementation of novel ML and LLM algorithms for Green AI applications.
• Research 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 with rigorous methodologies.
• Contribute to publications in AI conferences and journals.
• Collaborate with cross-functional teams to translate research into deployable technologies.
• Stay updated on developments in Green AI and AI systems.

Conhecimentos

Machine Learning

Deep Learning

LLMs

Python

Distributed Training

Formação académica

Bachelor's in Computer Science/AI/Data Science/EE

Ferramentas

PyTorch

TensorFlow

Descrição da oferta de emprego

NTU's ANGEL lab is seeking a Research Engineer to develop next-generation Green AI technologies, focusing on efficient AI, LLMs, and scalable AI systems for sustainable computing and real-world applications.

You will work at the intersection of AI research, software engineering, and sustainability, collaborating with multidisciplinary teams across academia and industry to translate advances into impactful solutions.