We are building a proprietary LLM-powered Super AI Agent Platform and are seeking an AI Chief Scientist to lead our Foundation Model / LLM technology roadmap and model training strategy.
With NVIDIA B300 GPU resources already secured, we are committing dedicated compute and R&D resources to developing our own large-scale foundation model capabilities.
Key Responsibilities
- Lead Foundation Model / LLM architecture and technology roadmap
- Drive pre-training, post-training, SFT, RLHF/RLAIF, and model optimisation
- Lead large-scale distributed training and GPU infrastructure
- Build and lead an AI Research team from 0 to 1
- Integrate foundation model capabilities into our Super AI Agent Platform
Requirements
- Strong hands-on experience in LLM training, Foundation Models, model architecture, or distributed training
- Deep expertise in pre-training, SFT, RLHF/RLAIF, and LLM optimisation
- Experience with large-scale GPU clusters and distributed training
- Strong research background in AI/ML, Deep Learning, NLP, or related fields
- Experience from a leading AI lab, research institution, or top-tier technology company is highly preferred
- PhD or equivalent research experience preferred
This is a research-driven Foundation Model leadership role, not a traditional AI application or Agent product role.