Research Engineer, Computing & Intelligence, IAIC

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 90,000 - 150,000; Full time

Benefits offered by this job

World-class computational infra

Collaboration with leading researchers

Career development opportunities

Job summary

A*STAR RESEARCH ENTITIES in Singapore is seeking a Research Engineer to develop and deploy advanced AI systems. You will translate cutting-edge research into scalable real-world applications, collaborating with researchers to implement and optimize ML models across healthcare and biomedical domains.

The role blends software engineering, machine learning, and systems engineering to bridge research and deployment, including building data pipelines, model serving platforms, and scalable

Qualifications

• Bachelor's or Master's degree in CS, CE, AI, DS or related disciplines.
• Strong Python programming skills.
• Experience with PyTorch or TensorFlow and software engineering practices.

Responsibilities

• Design, develop, and maintain AI systems and pipelines.
• Implement state-of-the-art AI algorithms from research to production.
• Build scalable data processing and model training pipelines.
• Develop multimodal AI systems combining text, image, video, and structured data.
• Develop APIs, backend services, and model-serving platforms.
• Support experimentation, model evaluation, and performance optimization.

Skills

Python programming

PyTorch

TensorFlow

Software engineering

Linux familiarity

Problem solving

Education

Bachelor's or Master's degree in CS/AI/related

Tools

Docker

Kubernetes

Git

AWS

Azure

GCP

Job description

Job Summary

About the Role

The Institute of Advanced Intelligence and Computing (IAIC), A*STAR, is seeking a highly motivated Research Engineer to develop and deploy advanced AI systems that translate cutting edge research into scalable real world applications.

The successful candidate will work closely with research scientists to implement, optimize, and operationalize AI models across healthcare and biomedical domains. This role combines software engineering, machine learning, and systems engineering to bridge the gap between research and deployment.

Key Responsibilities

• AI System Development
• Design, develop, and maintain machine learning and deep learning systems.
• Implement state-of-the-art AI algorithms from research prototypes into production-quality software.
• Build scalable data processing and model training pipelines.
• Develop multimodal AI systems integrating text, image, video, sensor, and structured data.
• Optimize model training, inference, and deployment workflows.
• Research Translation
• Collaborate with AI researchers to translate novel algorithms into robust software solutions.
• Reproduce and benchmark research models.
• Develop reusable AI frameworks, libraries, and tools.
• Support experimentation, model evaluation, and performance optimization.
• Software & Infrastructure Engineering
• Design scalable cloud and on-premise AI infrastructure.
• Develop APIs, backend services, and model-serving platforms.
• Implement automated testing, monitoring, and CI/CD pipelines.
• Support large-scale distributed training and inference systems.
• Deployment & Integration
• Deploy AI solutions into healthcare, scientific, and enterprise environments.
• Integrate AI systems with operational workflows and external platforms.
• Develop monitoring tools for model performance and reliability.
• Support technology transfer and production deployment activities.

Requirements

Essential

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Artificial Intelligence, Data Science, or related disciplines.
• Strong programming skills in Python.
• Experience with PyTorch, TensorFlow, or similar machine learning frameworks.
• Experience in software engineering best practices.
• Familiarity with Linux, Git, and software development workflows.
• Strong problem-solving and system design skills.

Preferred

• Experience with: Large Language Models
• Multimodal AI
• Computer Vision
• MLOps platforms
• Cloud Computing (AWS, Azure, GCP)
• Containerization (Docker, Kubernetes)
• Distributed Computing
• GPU Computing

What We Offer

• Opportunity to work on cutting edge AI technologies with real world impact.
• Access to world-class computational infrastructure and research facilities.
• Collaboration with leading researchers, clinicians, scientists, and industry partners.
• A dynamic environment supporting innovation, learning, and career growth.