Artificial Intelligence Research Engineer

About DSO National Laboratories

DSO National Laboratories is Singapore's premier defence research and development organization, dedicated to creating innovative technological solutions that enhance Singapore's national security across air, land, sea, space, and cyberspace domains. Joining DSO offers you an opportunity to build a meaningful career while making significant contributions to the future of defence.

About the INFO Division and Software Laboratory

The Information (INFO) Division specializes in capabilities encompassing cybersecurity, cryptography, data analytics and fusion, AI, vulnerability assessments, and operations analysis. The INFO Software Laboratory contributes expertise in software system development, including Data Fusion, Big Data Analytics, AI/ML, command and control (C2), and simulation. This lab also supports comprehensive software engineering processes and methodologies for full-stack development.

Career Development and Benefits

DSO values its people as its greatest asset. You will have opportunities to cultivate a deep technical specialization or assume leadership roles within your team. Through regular career discussions and a solid training and development framework, DSO provides the resources necessary for professional growth. Competitive remuneration and scholarship prospects are additional rewards.

Role Overview

• Perform cutting-edge research into algorithms and techniques focused on adversarial AI and AI security to enhance the robustness, security, and trustworthiness of AI systems.
• Apply a strong understanding of machine learning, cybersecurity, adversarial AI, and AI assurance to integrate innovative AI advancements with secure system engineering and deployment.
• Design and develop AI/ML methods and tools aimed at detecting, evaluating, and safeguarding AI systems from malicious and emerging threats.
• Collaborate with software engineers and stakeholders throughout the AI lifecycle, including threat modeling, red teaming, and the delivery of secure AI models and systems.

Qualifications

• Possess a Master's or Bachelor's degree in Computer Engineering, Computer Science, Data Analytics, Artificial Intelligence, Mathematics, Electrical & Electronics Engineering, or related disciplines.
• Demonstrate proficiency in Python programming alongside familiarity with AI frameworks in Python.
• Have prior experience in AI/ML R&D, particularly involving Agentic AI and adversarial AI methods and tools.