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Open nowPosted 522 days ago

多模态视频理解大模型算法工程师-视频与边缘

ByteDance19,198 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now多模态视频理解大模型算法工程师-视频与边缘ByteDance · 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. ByteDance postings stay open a median of 2 days.

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 522 days ago

ByteDance median: 2 days open

The posting

1、探索多模态视频理解大模型技术前沿,长视频理解、Token压缩、影视视频剧本还原、全模态高光理解、流式视频理解、理解和生成统一等技术方向,创新性优化相关算法; 2、全模态大模型(文本、图像、语音)的Post-training算法,同时结合用户消费行为持续优化模型效果,结合LongCoT和RL自主探索学习,探索多模态感知能力的边界; 3、探索视频剪辑Agent相关的研发和应用,研究高质量数据的挖掘和合成、大模型的对齐效率、多目标融合的学习,Agent全链路优化的方法等等; 4、探索直播流式场景比如体育、游戏等实时解说,解决工业级效率和效果难题,支持多语言服务全球化; 5、发表相关技术创新成果,比如顶会论文、专利或比赛。

1、获得硕士及以上学位,计算机科学、人工智能、自动化等专业优先; 2、熟练掌握Python/C++,熟悉NLP、CV、多模态中的1-2个领域,熟悉大模型训练、RL算法者优先; 3、熟悉Qwen-VL、InternVL、InternVideo等模型,有基于视频Catpion、视频Grounding、视频摘要、视频问答、美学评价、高光检测、动作识别、视频编辑、视频风格化等项目落地经验者加分,能深入解决大模型训练和应用存在的问题; 4、发表过CV/NLP/多模态相关顶会论文(比如CVPR/ICLR/ICCV/PAMI/ACL等)或ACM等竞赛获奖; 5、强烈的技术热爱和好奇心与自主探索能力,优秀的分析和解决问题的能力,和团队一起探索新技术创新和落地。

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