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Open nowPosted 710 days ago

多模态大模型算法实习生

dptechnology/index247 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now多模态大模型算法实习生dptechnology/index · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 710 days ago

The posting

参与多模态科学文献解析大模型算法的开发与研究，从非结构化的科学文献中，抽取结构化的信息，并用于下游更广泛的应用。内容包括且不限于科学图表理解，表格解析，反应式解析，通用OCR，多模态VQA，多模态RAG等，并对流程中某些部分算法进行深入探究，并将研究成果转化为学术论文。 职位职责： 1.多模态大模型训练各阶段方法设计与研究，解决多模态科学文献解析任务中的问题和需求； 2.参与大规模训练数据集的构建，确保数据质量和多样性； 3.进行模型性能分析，识别和解决训练过程中的瓶颈，优化推理效率。

1.拥有扎实的编程能力，精通至少一种编程语言； 2.对计算机视觉或自然语言处理有一定经验和理解，两者都有最佳； 3.优秀的文献阅读能力与良好的沟通协作能力； 4.每周出勤不低于3天，可以base在北京/上海，亦可远程实习。

加分项： 1.熟悉多模态相关的算法和技术，具备多模态大模型训练经验，如QwenVL、InternVL、KimiVL、Gemma等 2.参与过多模态大模型相关重要开源项目，数据科学比赛优胜或发表相关论文。

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