NTU
AI
SeniorResearchEngineer(LargeMultimodalModels)
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“Senior Research Engineer (Large Multimodal Models) at NTU. Skills: AI agentic Systems, Large Multimodal Models, Research Engineering. Undertake hands-on engineering development in AI agentic systems. system design”
What You'll Achieve.
create impactful applications; demonstrable outcomes
Industry & Context.
problem-solving skills
What They're Looking For.
Must Have
Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or a related discipline, hands-on programming skills, Python, modern AI/ML development frameworks, Practical experience in developing AI agentic systems, LLM-based agents, tool use, retrieval-augmented generation, planning, memory, workflow automation, multimodal AI systems, Good understanding of software engineering practices, version control, testing, documentation, reproducible development, Ability to design, implement, debug, and optimize research prototypes and production-oriented systems, problem-solving skills, ability to work independently, Good communication skills, ability to collaborate with researchers, engineers, and students
Nice to Have
Experience with large language models, multimodal models, AI agents, workflow automation, on-device/edge AI deployment, Prior experience contributing to research publications, open-source projects, demos, funded research deliverables, Experience in mentoring junior engineers, students, interns, Familiarity with cloud platforms, GPUs, model serving, databases, APIs, system deployment pipelines, ownership, initiative, ability to translate research ideas into working systems and demonstrable outcomes
What You'll Do.
Undertake hands-on engineering development in AI agentic systems
Lead development of robust research prototypes
experimental pipelines
Provide technical guidance
Work closely with principal investigators
translate research objectives into engineering plans
Attend and contribute to technical discussions
Ensure good engineering practices
clean and maintainable code
reproducible experiments
responsible management of data
Undertake any other duties relevant to research
How You'll Work.
Team & Collaboration
collaborating with industry; work closely with principal investigators and project team members; collaborate with researchers, engineers, and students
Communication Scope
Good communication skills
Process & Methodology
engineering plans, milestones, experiments, deliverables
Full Job Description
S-Lab for Advanced Intelligence, established in 2020, is a university laboratory at NTU focusing on research and development of cutting-edge AI technologies in computer vision, natural language processing, reinforcement learning, deep learning, and distributed computing. We aim to create impactful applications spanning various strategic areas in partnership with academic, industry, and government organizations. **Job Description:** We are seeking Senior Research Engineer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to AI agentic Systems. The key responsibilities include the following: * To undertake hands-on engineering development in AI agentic systems, including system design, implementation, training, evaluation, optimization, and deployment where applicable. * To lead the development of robust research prototypes, software systems, datasets, tools, and experimental pipelines that support the programme of research. * To provide technical guidance, code review, and day-to-day support to junior research engineers, research staff, and students associated with the project. * To work closely with principal investigators and project team members to translate research objectives into concrete engineering plans, milestones, experiments, and deliverables. * To attend, contribute to, and where necessary lead relevant technical discussions, project meetings, reviews, and demonstrations. * To ensure good engineering practices, including clean and maintainable code, proper documentation, reproducible experiments, version control, and responsible management of data and computing resources. * To undertake any other duties relevant to the programme of research. **Job Requirements:** * Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or a relate
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