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Open nowPosted 266 days ago

推荐大模型算法实习生-国际电商

ByteDance19,260 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now推荐大模型算法实习生-国际电商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 27 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 266 days ago

ByteDance median: 27 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:国际电商是以TikTok为载体的电商业务(也称为TikTok Shop),致力于成为用户发现并获取优价好物的首选平台,在直播电商、视频内容电商、货架电商等多场景下,国际电商希望能为用户提供更个性化、更主动、更高效的消费体验,为商家提供稳定可靠的平台服务,致力于新奇好物畅销全球,美好生活触手可得的使命。 Data-电商团队是国际电商的核心算法技术力量,专注于电商领域的算法创新,帮助用户高效发现感兴趣的商品,保障用户的购物安全,提升交易各环节的智能化水平。在这里,你将与一流的产品和技术团队合作、钻研,一起应对技术和业务上的挑战,推动技术在电商场景的深度落地。

1、推荐模型的Scaling Law,模型在理论指导下Scaling Up,涉及到算力在数据、参数和推理上最优分配; 2、以开源LLM为基座,把推荐物品的语义Token和世界知识进行模态融合; 3、以NTP为主的Pre-Train和把推荐重构为RLVR任务的Post-Train,探索Reasoning及蒸馏上线的潜力; 4、单体模型充分Scaling Up及端到端生成式推荐探索。

1、2027届本科及以上学历在读,计算机、软件工程等相关专业优先; 2、具有扎实的机器学习基础和编码能力,在机器学习、NLP、CV等有较深入的研究经验,熟练掌握主要的算法和数据结构; 3、在搜广告推和大模型领域,有参与或者主导过关键项目的优先; 4、在国际顶级会议发表论文者优先,包括但不限于KDD、SIGIR、RecSys、ACL、NeurIPS等; 5、具备较好的问题分析和解决能力,对LLM相关技术有热情,热衷于推动和解决在推荐业务落地中遇到的各种挑战。

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