Foundation Model Pre-training Scientist

We are building a proprietary LLM-powered Super AI Agent Platform and are seeking an Foundation Model Pre-training 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.