(Senior) Research Engineer, Computing & Intelligence, IAIC

A*STAR - Agency for Science, Technology and Research; Singapore; On-site; SGD 70,000 - 100,000; Full time

Benefits offered by this job

Collaboration with leading AI researchers

Access to large-scale compute resources

Career development opportunities

Job summary

A*STAR - Agency for Science, Technology and Research seeks AI Engineers to develop and implement innovative AI systems that improve healthcare outcomes. You'll be responsible for designing scalable solutions involving large language models and collaborating with multidisciplinary teams.

The ideal candidates will have a strong background in software engineering, machine learning, and deep learning frameworks like PyTorch and TensorFlow. Opportunities for career growth and professional development in cutting-edge areas such as AI and healthcare.

Qualifications

• Strong programming skills in Python and deep learning frameworks.
• Experience developing and evaluating machine learning or deep learning models.
• Familiarity with software engineering practices and Linux environments.

Responsibilities

• Develop, train, fine-tune, and evaluate LLMs and AI systems.
• Collaborate with clinicians and researchers on healthcare AI solutions.
• Contribute to technology transfer and product development activities.

Skills

Software Engineering

Machine Learning

Python

Deep Learning

Problem-solving

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

JAX

Job description

About Us

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs), agentic AI and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health. We are looking for AI Engineers with strong applied AI and software engineering skills to build scalable AI systems and translate cutting‑edge research into real‑world healthcare solutions.

Job Summary

Key Responsibilities

• Research & Development
  • Develop, train, fine‑tune, and evaluate LLMs, agentic AI systems, vision foundation models, and multimodal foundation models.
  • Build scalable training, inference, and deployment pipelines for AI models.
  • Develop software tools, APIs, and cloud‑based services for AI applications.
  • Optimize model performance, reliability, and resource utilization on HPC and cloud platforms.
  • Support model deployment, monitoring, and maintenance in research and production environments.
• Translation & Collaboration
  • Develop AI solutions for clinical and biomedical applications such as clinical decision support, conversational AI, population health, and biomedical discovery.
  • Collaborate with clinicians, researchers, and industry partners to translate AI technologies into practical healthcare solutions.
  • Contribute to technology transfer, product development, and commercialization activities.
• Innovation and Technical Contribution
  • Stay current with advances in LLMs, agentic AI, foundation models, and healthcare AI.
  • Contribute to technical reports, patents, publications, and project deliverables.
  • Support collaborative research proposals and interdisciplinary projects.

Qualifications

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Computer Engineering, Data Science, or a related field.
• Strong programming skills in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Experience developing and evaluating machine learning or deep learning models.
• Familiarity with software engineering practices, version control, and Linux environments.
• Strong problem‑solving skills and ability to work in multidisciplinary teams.

Preferred Qualifications

• Experience in large‑scale LLM and/or foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

What We Offer

• Opportunity to work on cutting‑edge AI technologies with real‑world healthcare impact.
• Collaboration with leading AI researchers, clinicians, and industry partners.
• Access to large‑scale compute resources and unique biomedical datasets.
• Career development opportunities in AI research, engineering, and technology translation.
• Support for technical training, publications, conferences, patents, and innovation activities.