AIGC算法工程师-多模态理解方向（J84779）
Core
Research and development of multimodal large models, focusing on efficient fine-tuning, alignment, hallucination reduction, and data governance.
Role type
Research-level multimodal AI engineer
Builds
Multimodal large models and related research artifacts
Domain
Artificial Intelligence / Multimodal Learning
Deliverable
research
Required skills
Deep learning, multimodal models, image editing, video understanding, Python, TensorFlow, PyTorch
Preferred skills
Efficient fine-tuning, data governance, hallucination reduction
Responsibilities
Assist in multimodal large model research including fine-tuning and alignment; validate and optimize algorithms for efficiency and accuracy; conduct literature reviews on technical trends; participate in internal technical sharing sessions.
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