The successful candidate will contribute to cutting‑edge research and development in multimodal, multilingual large language models. This role involves implementing advanced deep learning algorithms, exploring innovative techniques to improve training and inference efficiency, and proposing novel architectures for next‑generation multimodal foundation models. The candidate will also help translate research breakthroughs into real‑world applications, working collaboratively with a multidisciplinary team on problem analysis, solution design, and rigorous evaluation. They will be expected to drive experiments that achieve state‑of‑the‑art performance across diverse benchmarks.

We are seeking individuals with strong problem‑solving abilities, solid software engineering and coding skills, and excellent communication skills. A passion for research and a desire to push the boundaries of AI technology are essential.

• PhD in M...