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Open nowPosted 562 days ago

大语言模型算法研究（模型架构优化方向）实习生 - Seed Model

ByteDance19,227 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now大语言模型算法研究（模型架构优化方向）实习生 - Seed ModelByteDance · 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 562 days ago

ByteDance median: 2 days open

The posting

团队介绍：字节跳动 Seed 团队成立于 2023 年，致力于寻找通用智能的新方法，追求智能上限，为科技和社会发展作出贡献。

Seed 团队在 AI 领域拥有长期愿景与决心，团队研究方向涵盖 MLLM、GenMedia、AI for Science、机器人等，在中国、新加坡、美国等地设有实验室和岗位。目前，团队已推出业界领先的通用大模型以及前沿的多模态能力，支持豆包、即梦、TRAE 等超过 50 个应用场景，并通过火山引擎开放给企业客户。第三方数据显示，豆包 App 用户量在中国市场排名第一，豆包大模型日均 Token 调用量行业领先。

日常实习：面向全体在校生，为符合岗位要求的同学提供为期3个月及以上的项目实践机会。

1、设计高效且可靠的模型架构优化方案，确保模型在不同规模下的稳定Scaling； 2、探索超大规模模型性能边界，通过混合精度分布式训练、量化部署等方式优化训练和推理过程； 3、研究下一代模型架构，拓展模型在长文本、推理、科学计算、多模态和具身智能等领域的应用场景。

1、硕士及以上学位在读，计算机等相关专业优先； 2、扎实的代码能力与算法基础，熟练掌握Python/C++；IOI、NOI、ACM/ICPC、Kaggle、NeurIPS等竞赛获奖经历者优先； 3、熟悉大模型训练与优化技术，有模型参数调优经验或CUDA/Triton编程能力者优先； 4、在大模型领域，主导过大影响力的项目或论文者优先； 5、出色的问题分析和解决能力，能深入解决大模型训练和应用存在的问题； 6、良好的沟通协作能力，能和团队一起探索新技术，推进技术进步。

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