AI Research Scientist

Our client, a world-class AI research lab, is hiring Research Scientists to work on foundation models, native multi modal intelligence, and agentic systems, with direct impact on frontier model development. Focus areas (one or more): Native multimodal modelling (vision-language, audio-vision, cross-modal) Pre-training/post-training (SFT, DPO, RLHF/RLAIF) at scale Data engineering & synthetic data pipelines Agentic frameworks, reasoning, tool use, memory systems Evaluation & benchmarking (LLM-as-judge, safety/alignment metrics) Inference optimisation (quantization, distillation, vLLM/TensorRT-LLM) Requirements: PhD or Master's in CS/AI/ML/Physics/Maths or equivalent research experience Strong hands-on expertise in at least one core area above Strong Python and PyTorch/distributed training experience Track record of top-tier publications (NeurIPS, ICML, ICLR, CVPR, ACL) or major open-source foundation model contributions If this role sounds interesting to you, please reach out to Charles Duran.