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Open nowPosted 49 days ago

AI算法实习生 - TikTok AI创新中心

ByteDance19,258 open roles

Where
Beijing, Chinese Mainland
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Your applicationOpen nowAI算法实习生 - TikTok AI创新中心ByteDance · Beijing, Chinese Mainland
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ByteDance's own form.

The reply lands in your private mailbox

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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 23 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 49 days ago

ByteDance median: 23 days open

The posting

团队介绍:TikTok是一个覆盖150个国家和地区的国际短视频平台,我们希望通过TikTok发现真实、有趣的瞬间,让生活更美好。TikTok在全球各地设有办公室,全球总部位于洛杉矶和新加坡,办公地点还包括纽约、伦敦、都柏林、巴黎、柏林、迪拜、雅加达、首尔和东京等多个城市。

TikTok AI创新中心,是致力于AI基础设施建设和创新研究的部门,探索行业领先的人工智能技术,致力于突破多模态大模型与代码大模型的技术边界。我们正在构建下一代AI系统,这些系统能够无缝理解与整合多语言文本、海量视频内容及复杂代码结构,打造真正跨模态的统一智能架构。我们的研究不仅关注模型的理解能力,更探索其在复杂推理任务中的应用潜力,将代码作为连接各类智能任务的通用语言。团队旨在通过创新算法设计,为用户提供前所未有的内容体验与创作辅助,同时显著提升开发效率与系统性能。

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、参与代码性能优化Agent的算法研发; 2、负责提升模型在性能热点定位、优化方案生成、代码修改、正确性判断和失败修复等任务上的能力; 3、探索自进化Agent技术,包括强化学习、Test-Time Scaling、搜索与规划、长期记忆、经验复用及多智能体协作等方向,跟进代码大模型、智能体、强化学习和自动化程序优化领域的前沿研究,推动相关技术在实际研发场景中落地; 4、参与代码大模型的训练与优化,开展数据构建、SFT、强化学习、Reward Model、Verifier和模型评测等工作; 5、利用Agent在真实任务中产生的执行轨迹、代码Patch、性能数据及成功失败经验,构建高质量训练数据,形成“任务—数据—模型—Agent”的持续迭代闭环; 6、建设代码性能优化评测体系,结合编译、测试、性能Profile和真实运行反馈,对模型生成代码的正确性与性能收益进行自动化验证。

1、硕士及以上学位在读,计算机、人工智能、软件工程或相关专业优先; 2、具备扎实的机器学习和深度学习基础,对大语言模型、强化学习或智能体技术有深入理解; 3、具备优秀的编程、数据结构和算法能力,熟练掌握Python,熟悉Go、C++或Rust中至少一种语言者优先; 4、有大模型预训练、SFT、RLHF/RLAIF、Reward Model、代码生成或Agent项目经验,熟悉性能分析、编译原理、程序分析、系统优化或分布式系统,在NeurIPS、ICML、ICLR、ACL、EMNLP、ICSE、FSE、ASE等会议发表过论文,或在ACM/ICPC、NOI/IOI、Kaggle等竞赛中取得优异成绩者优先; 5、具备良好的沟通协作、快速学习和问题分析能力,对解决开放且具有挑战性的技术问题充满热情; 6、每周可实习3天以上,可连续实习6个月以上。

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