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.