The Centre for Advanced Technologies in Online Safety (CATOS; https://www.catos.sg) was established in 2023 to host Singapore's Online Trust and Safety (OTS) Programme, a national research programme that leads the advancement of whole-of-nation technology capabilities to monitor and tackle online harms. The Systems Engineering Pillar of CATOS focuses on translational research and development, including evaluating, testing and integrating research output into needle-moving applications. One of the major outcomes will be a technological platform with an integrated suite of deep tech OTS engines, which analyses various internet sites and platforms for fast-trending harmful online content, such as non-factual claims, deepfakes, and hateful and toxic content. Different combinations of OTS engines can then be integrated and adapted to address the specific requirements of various stakeholders.
This role will be responsible for translating research outcomes (e.g., CATOS technologies and OTS engines) into meaningful applications to address the specific needs of various user groups, including public and private agencies, as well as the general public.
The candidate will assume the following roles and responsibilities:
- Explore and apply (Multi-Modal) Large Language Models and emerging AI technologies to solve practical problems.
- Code, develop, and test back-end components that integrate AI capabilities into end-user applications.
- Work with software developers to enhance core platforms and solutions.
- Develop documentation for the implemented solution.
- Follow Agile project management framework.
- Work and communicate well with other team members.
- Stay updated with advancements in AI to evaluate and apply relevant technologies for new challenges.
JOB REQUIREMENT:
- A Bachelor / Master degree in Computer Science / Information Technology / Computer Engineering / Information Systems / Data Engineering / Computational Social Science or equivalent.
- At least 5 years of relevant work experience.
- Demonstrable experience in using machine learning / deep learning frameworks and models.
- Experience in using (Multi-Modal) Large Language Models is valued.
- Demonstrable and relevant commercial and/or enterprise software project management experience and skills.
- Programming skills in Python are essential.
- Experience with the Linux platform is essential.
- Experience with web servers (e.g., Apache), browser-based applications, and databases such as MySQL.
- Able to create complex and interactive UI using HTML5, CSS3, and JavaScript that function across multiple platforms and environments.
- Experience with web libraries and frameworks such as Flutter, ReactJS, Bootstrap, Jquery, and CSS pre-processing frameworks like Sass or Less.
- Solid understanding of HTTP protocols, AJAX, and RESTful services.
- Solid understanding of networking concepts, including TCP/IP and HTTP protocols.
- Hands-on experience with cloud environments, preferably Digital Ocean, AWS, Azure, or GCP.
- Good knowledge on CI/CD pipelines. (e.g. Bitbucket, GitLab)
- Proactive team player with strong communication skills.
- Strong understanding and experience with Agile methodologies and processes.
- Good communication and interpersonal skills for working in a multicultural work environment.
- Strong understanding of algorithms. (i.e., The Art of Programming by Donald Knuth)
- Proficient in clean coding principles. (i.e., Clean Code by Robert Martin)
If you have accomplished any of the following, please include them in your cover letter:
- You have won a programming competition.
- You have independently built a software project. (any programming language)
- You enjoy solving challenging programming problems. Please describe one problem you've solved. (max 1 page)
- You have been trained under Agile Software Development framework.
Our research and engineering work is highly interdisciplinary, agile, and pragmatic. The candidate will collaborate closely with a team that embraces agile software development.
- We expect everyone to take ownership of their role, responsibilities, and tasks.
- We encourage everyone to speak up when they have feedback or ideas for improvement.
- We provide honest feedback to one another, which can be tough at times, but it fosters rapid learning.
- We care about each other's professional growth and well-being.
When applying, please share with us one project you have built fully on your own or a challenging technical problem you have solved (max 1 page).
Please note that only shortlisted candidates will be notified.
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.
