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Open nowPosted 72 days ago

多模态数据算法工程师 (流式视频)

shengshu/index98 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now多模态数据算法工程师 (流式视频)shengshu/index · Beijing, Chinese Mainland
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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. shengshu/index postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 72 days ago

shengshu/index median: 1 days open

The posting

1、视频预处理与解码:负责原始视频的元数据探测、转码、HDR→SDR、黑边检测、音视频分离对齐。优化解码路径(FFmpeg / Decord / GPU decoder),保证大规模任务的吞吐与稳定性; 2、镜头与场景切分:设计并落地 shot / scene 切分:镜头边界检测、视觉特征场景合并、按边界切片、jump-cut 检测。建立边界 F1 / mIoU / 长度合规等评估,持续压误切、漏切; 3、视觉理解与结构化标注:接入 VLM 做视频 caption、语义打标、实体提取;接入开放词表检测、字幕擦除等视觉算子。保证标注 schema、token 用量、失败重试可统计、可回放。

1、算法竞赛获奖经历,或为显著开源贡献者优先,计算机视觉 / 机器学习等相关专业,本科及以上,具有视频理解、视频处理或大规模数据生产经验; 2、精通 Python;熟悉 PyTorch 推理落地(加载、batch、混合精度、OOM 降级)。 3、熟悉视频容器与编解码:FFmpeg / ffprobe、H.264/H.265、PTS/DTS、转码与抽帧;有过长视频切分或直播流(如 MPEG-TS)踩坑经验更佳; 4、做过至少一类视觉模型生产化:CLIP / DINOv2 / 检测 / OCR / 质量评估 / VLM 打标中的若干项; 5、加分项:镜头边界 / 场景分割的论文或生产经验,有人工标注对齐、failure mode 分析;VLM 视频打标:prompt 设计、结构化输出、限流与 token 统计;字幕检测与擦除、人脸/实体检测、参考视频数据构建。

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