AIGC算法实习生 - 多模态理解方向（J98723）
Core
Research and optimization of multimodal large models, focusing on efficient fine-tuning, alignment, hallucination reduction, and reinforcement learning.
Role type
Research intern (multimodal understanding)
Builds
Multimodal large models and research prototypes
Domain
Artificial Intelligence / Multimodal AI
Deliverable
research
Required skills
Python, TensorFlow, PyTorch, reinforcement learning algorithms (PPO, DPO, GRPO), multimodal reasoning models
Preferred skills
PhD, top-tier conference publications, multimodal large model expertise, video understanding experience
Technologies
Python, TensorFlow, PyTorch
Responsibilities
Assist in multimodal large model research including fine-tuning and alignment; validate and optimize algorithms; conduct literature reviews; participate in technical sharing sessions.
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