AI Engineer for AI Singapore (Secure AI)

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI). 

 
The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The SecureAI team (subgroup of Platform Engineering) is looking for engineers working at the intersection of machine learning, systems and security. The candidate will play a key role in enhancing the security posture of our 100E, Makerspace and other AISG projects.

The candidate will join a team of AI scientists, apprentices, data and software engineers. With the team, he or she will experiment and build AI solutions that can help Singapore companies improve their businesses using AI. A more senior candidate is expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers and apprentices in the projects.  

Duties & Responsibilities
 
1.    Build and maintain tooling to increase the robustness, security and trustworthiness of machine learning systems.
2.    Build and maintain tooling to detect, mitigate and triage security threats and vulnerabilities of machine learning systems.
3.    Educate the broad community of data scientists/engineers, security engineers incident responders and policymakers.
4.    Document and investigate ML Security issues arising from our systems and AISG projects when they occur. 
5.    Propose and drive technical decisions for completion.
6.    Mentor AISG Apprentices and others from a Machine Learning Security perspective.

•    Prior experience in Blue or Red Teaming, Threat Modeling or Architecture Risk Assessment. 
•    Familiarity in Adversarial Machine Learning space or in applying machine learning security. 
•    Excellent communication skills, including thoughtful listening skills and the ability to express complex ideas clearly and succinctly. 
•    The ability to reason about engineering issues holistically using engineering fundamentals and knowledge about architecture. 
•    A systematic approach to development and engineering, such as DevSecOps practices and agile software development. 
•    Have held at least one ML, software engineering or infosec-related position for a minimum of 3 years.
•    Proficient in at least one commonly used programming language, such as Python (preferred), Ruby, Go, Rust, Javascript, Java, C#, etc. 
•    Familiarity with GitLab CI or GitHub Action CI/CD tools. 
•    Proficient in administering Linux systems. 
•    Proficiency in at least one automation tool, such as Ansible, Chef, Puppet, Bash, PowerShell, etc. 
•    Familiarity with IDE environments and tooling such as VSCode, IntelliJ, etc. 
•    Familiarity with container and container orchestration technologies such as Docker, rkt, Singularity, Kubernetes, Docker Swarm etc. 
•    Familiarity with Clouds such as AWS, Microsoft Azure, Google Cloud Platform and code deployment tools. 
•    Familiarity with software architectural patterns. 
•    An aptitude for automated system design and implementation (automated deployments and automated testing). 
 

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presences are required. 

In accordance with Singapore's legal requirements, unvaccinated workers will not be able to work on the NUS premises with effect from 15 January 2022. As such, job applicants will need to be fully COVID-19 vaccinated to secure successful employment with NUS.

Location: Kent Ridge Campus

Organization: Office of the Deputy President(Res&Tech)

Department : AI Singapore

Employee Referral Eligible: No

Job requisition ID : 12188