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Open nowPosted 79 days ago

多模态内容理解算法工程师 - 国际化搜索广告

ByteDance19,258 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now多模态内容理解算法工程师 - 国际化搜索广告ByteDance · Beijing, Chinese Mainland
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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 23 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 79 days ago

ByteDance median: 23 days open

The posting

团队介绍:国际化搜索广告团队不断突破通用搜索引擎变现的界限,覆盖海外应用,致力于构建全球领先的搜索广告变现系统。在国际化搜索广告团队,您将有机会从事大规模分布式存储和架构、自然语言处理、排序和信息检索相关的问题。您还将深入参与我们的广告样式、创意展示和广告投放链路的创新和优化。我们正在寻找勇于挑战困难、热衷于解决复杂问题并与热情洋溢的候选人们共同发展我们的搜索广告产品。

1、负责商业化场景下多模态内容理解基础技术,覆盖全模态全体裁广告理解、行业知识图谱、流量理解、用户意图识别等,为广告投放、创意优选、内容审核等业务提供高质量的语义Embedding表征与明文标签体系; 2、探索多模态进阶能力在商业化场景的落地应用,包括但不限于多模态RAG、视觉CoT、多模态Agent、多模态Reward Model等,充分发挥多模态大模型在广告创意理解、商品内容解析、用户意图识别等商业化特色任务上的推理能力; 3、探索内容理解与多模态生成大模型的协同演进路径,推动理解-生成一体化模型在商业化内容生产与优化中的应用,协同优化理解/生成大模型与投放系统; 4、跟踪行业前沿技术进展,探索Deep Research、Multi Agent等新技术在商业化场景的研究与落地,产出具有行业影响力的研究成果。

1、2027届获得本科及以上学历; 2、具备扎实的编程能力,熟练使用Python/C++,熟练掌握PyTorch深度学习框架; 3、具备扎实的机器学习与数理基础,对大语言模型(LLM)、多模态大模型(MLLM)、生成式模型(Diffusion/Flow-Matching)、强化学习(RL)、Agent等技术有深入理解; 4、在多模态内容理解领域有实战经验,熟悉以下方向中至少一个:视频/图像理解,多模态融合与跨模态检索、对齐,多模态大模型训练、微调与评估; 5、有广告、电商、推荐等商业化场景内容理解经验,或有国际顶级会议论文、GitHub作品等公开成果,或Kaggle、ACM等算法比赛获奖者优先; 6、具备良好的技术钻研精神与创新意识。

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