Research Engineer I (Computer Science / Artificial Intelligence / Data...

Nanyang Technological University; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

ANGEL at NTU invites applications for a Research Engineer to develop next‑gen Green AI technologies, focusing on efficiency, sustainability, and scalability of AI systems. You will work at the intersection of AI research, software engineering, and sustainability with multidisciplinary teams.

Responsibilities include designing novel ML/LLM algorithms, researching efficient training, benchmarking, and contributing to publications.

Qualifications

• Bachelor's degree in CS, AI, DS, EE or related field.
• Strong background in ML, DL, and large language models.
• Experience with large-scale datasets and distributed training.
• Proficiency in Python and DL frameworks (PyTorch or TensorFlow).
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design and implement novel ML and LLM algorithms for Green AI.
• Research efficient AI techniques including fine-tuning, RAG, prompt engineering, and efficient inference.
• Conduct experiments, benchmark algorithms, and analyze results.
• Contribute to publications in AI conferences and journals.
• Collaborate with cross-functional teams to translate research into deployable tech.
• Stay updated on Green AI, foundation models, code intelligence, and AI systems.

Skills

Machine Learning

Deep Learning

LLMs

Python

PyTorch

TensorFlow

Analytical Skills

Communication Skills

Education

Bachelor's degree in CS/AI/Data Science/EE or related

Tools

Distributed Training

Job description

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity.

We are seeking a highly motivated Research Engineer to develop next-generation Green AI technologies that improve the efficiency, sustainability, and scalability of artificial intelligence systems. The successful candidate will contribute to cutting-edge research and engineering in large language models (LLMs), efficient machine learning, and AI systems, translating research innovations into practical solutions for sustainable computing and real-world applications. This role offers opportunities to work at the intersection of AI research, software engineering, and sustainability, collaborating with multidisciplinary teams across academia and industry.

Job Description:

• Support the design, development, and implementation novel machine learning and large language model (LLM) algorithms for Green AI applications.
• Support the research of efficient AI techniques, including model optimization, parameter-efficient fine-tuning, self-training, retrieval-augmented generation (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.
• Keep abreast of the latest developments in Green AI, foundation models, code intelligence, and AI systems.

Job Requirements:

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

We regret to inform that only shortlisted candidates will be notified.