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Open nowPosted 207 days ago

大语言模型算法工程师(交互智能方向) - Seed大模型人才校招

ByteDance19,261 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen now大语言模型算法工程师(交互智能方向) - Seed大模型人才校招ByteDance · Beijing, Chinese Mainland
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The clock on this job

Early applications get read.

11.4% 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. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 207 days ago

ByteDance median: 27 days open

The posting

Seed 大模型人才校招,是字节跳动 Seed 面向高校人才推出的招聘项目。我们始终相信,真正重要的技术进步来自对高难度问题的持续挑战。面对 AI 时代的巨大机遇,Seed 团队并不止步于模型迭代,而是选择进入技术深水区,推进下一代 AI 范式突破,不断探索智能的边界与上限。

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。

加入我们,你将参与重塑 Human-AI 交互的终极形态,致力于构建具备长程记忆、复杂逻辑推理并能持续进化的交互对话智能系统 (Interactive Intelligence)。你将直接面对 AGI 时代的前沿硬核挑战,推动核心技术在情感陪伴、个性化教育、高阶私人助理及开放世界生成式智能体等颠覆性场景的落地。

核心职责: 1、攻克高维交互架构:突破传统线性问答,研发支持多线程、非线性交互的底层算法架构,并在复杂推理下实现极低延迟的人类级自然响应; 2、探索交互式强化学习(Interactive RL):解决以人类为环境设定下的关键难题(如模型扮演人类时的User Hacking),并对长程对话的中间状态进行过程建模(Process Modeling); 3、提升深度指令遵循(Deep Instruction Following):确保大模型在开放域对话中严格恪守复杂人设与剧本,并能在强约束条件下进行高逻辑性的即兴创造; 4、构建评估与持续学习体系:研发模型在真实交互中的持续进化范式;建立科学指标,攻克“共情能力”、“说服力”等高维主观特质难以自动化评估的行业痛点。

我们寻找对AGI有原生热情、工程基础扎实且具备顶级技术能力的实战派伙伴。 1、2027届获得本科及以上学历,计算机、数学、统计等相关专业; 2、对Human-AI Interaction的前沿趋势有深刻洞察,具有好奇心与快速学习能力;拥有扎实的数学功底和机器学习理论基础; 3、卓越的工程落地能力,代码功底扎实,具备系统级思考与架构级问题解决能力; 4、坦诚清晰的沟通表达,能高效推进跨团队、跨职能的技术协作。

加分项(Preferred): 1、具备超大规模LLM的训练、RL的硬核实战经验; 2、在Interactive RL,Multi-Agent Systems,或模型对齐(Alignment)领域有深入研究(在NeurIPS,ICLR,ACL,CHI等顶会有相关一作论文者优先); 3、在博弈论(Game Theory)或机制设计(Mechanism Design)领域有系统性的学术积累; 4、有交互智能或生成式智能体(Generative Agents)方向的成功落地项目经历。

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