Description:
To develop and support research on multi-agent systems. Initial focus will be on dataset curation and managing fine-tuning workflows, with opportunity to grow into broader system development, prototyping, and research contributions.
Key Responsibilities
- Curate, clean, and organize high-quality datasets for training and evaluation
- Manage and execute fine-tuning pipelines for large language models and multi-agent systems
- Support development of hierarchical multi-agent frameworks and evaluation tools
- Assist in building prototypes, running experiments, and documenting results
- Contribute to research outputs (papers, internal technical reports) over time
Requirements
- Master’s degree or First Class Honours Bachelor’s in Computer Science, Artificial Intelligence, Machine Learning, or related field
- Solid understanding of large language models, fine-tuning techniques, and multi-agent systems
- Experience with data curation, dataset management, and training pipelines
- Familiarity with hierarchical planning, compositional design, or graph-based representations is a plus
- Strong proficiency with PyTorch, PyTorch Geometric (PyG), and modern LLM frameworks.
- Programming skills in Python.
Source: MyCareersFuture — Workforce Singapore · Retrieved 2026-11-08 · Not affiliated with or endorsed by Workforce Singapore or MyCareersFuture