Intern- Multimodal Large Language Model

Duties include:

• Participate in continuous learning algorithm research for real medical scenarios, and assist in solving the problem of long-tailed data distribution and model forgetting

Question.

• Assist in the fine-tuning and optimization of multimodal large models, including model structure improvement, training strategy experimentation, etc.

• Complete experimental analysis and data organization under team guidance.

• Participate in technical documentation, papers or patent application materials writing assistance.

Job Requirements

• Computer Science, Artificial Intelligence, Mathematics, and other related fields. • Interested in AI research, with basic literature reading and learning abilities;

• Good logical thinking and team collaboration awareness, able to complete tasks on time.

• Familiar with Python and PyTorch, those who have deep learning project experience are preferred;

• Knowledge of LLM, MLLM (such as LLaVA, Qwen-VL), MoE, reinforcement learning, etc. is preferred.