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Open nowPosted 275 days ago

推荐算法实习生-抖音电商

ByteDance19,258 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now推荐算法实习生-抖音电商ByteDance · Shanghai, 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 275 days ago

ByteDance median: 23 days open

The posting

ByteIntern:面向2027届毕业生(2026年9月-2027年8月期间毕业),为符合岗位要求的同学提供转正机会。 团队介绍:抖音电商算法团队,依托抖音、今日头条、番茄小说、红果短剧等产品,帮助用户发现、讨论并获得好物,享受美好生活;帮助商家高效经营,创建良性商业生态;激励创作并分享购物经验使用心得,构建有真诚有信息的电商内容氛围。在这个团队,我们不仅要通过推荐、广告和搜索算法搭建消费者和商家之间的桥梁,也要通过风控算法和治理算法去甄别违规行为,保护用户的购物体验,保护真正诚信经营的商家;我们还要建设智能客服技术、大规模商品知识图谱来提升各个交易环节的效率,降低商家的经营成本;我们也要结合机器学习和运筹算法,来优化供应链和物流的效率和成本,并进一步提升用户物流体验;另外我们还会用业界先进的数据科学技术为业务健康发展保驾护航。我们的使命:用算法的能力,让用户总能发现好东西,让美好生活触手可得。

1、负责抖音、今日头条等多端电商推荐算法优化,覆盖短视频、直播场景,探索多模态大模型、类Transformer生成式推荐技术,打破传统ID依赖,提升亿级用户体验与场景效果; 2、主导全漏斗(召回、粗排、精排、混排)优化,运用LRM推荐大模型提升预估精度,聚焦GMV、购买人数等核心指标,优化推广链路融合策略,提升分发效率与统一性; 3、应用深度学习、强化学习、Uplift建模等技术,解决点击率/转化率预估、直播冷启动等问题,结合表征学习、图模型优化信息匹配效率; 4、基于千万亿级用户行为数据,构建用户兴趣模型与购买意图预测体系,挖掘优质商品及主播;分析流量效率,针对性开展用户激活、拉新及复购提频策略; 5、结合内容电商特性,探索大模型与工业级推荐系统融合,设计模型与业务一体化方案,构建良性生态,驱动业务增长。

1、2027届硕士及以上学位在读,计算机、人工智能、数学、机器学习、模式识别等相关专业优先; 2、编码能力优秀,数据结构与算法功底扎实,熟练掌握C++、Python语言及Linux开发环境,熟悉XGBoost、TensorFlow/PyTorch中至少一种开源工具; 3、机器学习基础扎实,熟悉CF、LR、GBDT、DNN等常用算法模型,对LLM相关技术有热情,在推荐、广告、大模型、NLP等领域有研究或项目经验者优先; 4、具备优秀的问题分析与解决能力,热爱技术、勇于挑战,拥有良好的沟通表达能力与团队合作精神,能高效推进业务落地; 5、有个性化推荐、信息检索等相关项目实践经验,在KDD、NeurIPS、SIGIR等国际顶级会议发表论文或有数据挖掘竞赛经历者优先。

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