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Open nowPosted 1038 days ago

大语言模型预训练算法工程师 - Seed Model

ByteDance19,268 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now大语言模型预训练算法工程师 - Seed ModelByteDance · Beijing, Chinese Mainland

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The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 9 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 1038 days ago

ByteDance median: 9 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。

1、预训练和持续学习：大规模预训练、持续学习和自主迭代，突破自然语料、多模态、上下文和记忆的瓶颈； 2、大语言模型数据科学：压缩世界知识和经验，构建基础模型智能的深厚内在和锋利边界； 3、Scaling机制和最优化：解读模型的优化动态，用数学物理和实验科学，破解模型训练的不确定性难题； 4、通用效率优化：让数据更快迭代，让训练更快收敛，让评估更快置信，让实验更快见效，让下一代智能更早浮现。

1、拥有扎实的数学功底和机器学习理论基础； 2、优秀的代码能力、数据结构和基础算法功底，熟练C/C++或Python/Rust，熟悉Vibe coding和Agent工程优先； 3、熟悉NLP/CV相关算法和技术，熟悉Pretrain、Post-training算法，在相关领域有良好研究记录者优先，在大模型领域主导过具有广泛影响力的项目或论文者优先。

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