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Open nowPosted 66 days ago

算法工程（音乐智能理解方向）实习生 - AI Music

ByteDance19,258 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now算法工程（音乐智能理解方向）实习生 - AI MusicByteDance · Shanghai, 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 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 66 days ago

ByteDance median: 23 days open

The posting

团队介绍：我们是TikTok研发旗下的音乐算法团队，主要任务是打造优质高效的AI音乐算法和服务。团队的业务与技术产出丰硕：建设了行业领先的音乐识别系统，率先实现了翻唱识别能力在实际业务中的落地；自研音乐理解大模型首创全局与时序理解能力的统一，业务应用广泛；文生音乐模型效果已达行业第一梯队。学术上，团队在AAAI、ICASSP等顶会发表论文20余篇，其中ByteCover和HTS-AT等已成领域经典算法。团队诚邀优秀算法人才加入，共享千卡算力与数亿级用户的全球落地场景。

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、深入参与音乐音频理解与生成式AI的前沿技术研发；你将运用深度学习与音频信号处理技术，探索音乐结构分析、多模态表达及AI音乐等核心领域，推动下一代智能音乐体验落地； 2、音乐与音频理解：参与音乐特征提取、曲风与情绪识别、自动打标、歌词-音频精准对齐（Forced Alignment）及结构分割（如主副歌识别）等算法研发； 3、AI音乐：协助探索AI编曲/旋律生成、歌声合成，参与音频大模型（Audio-LLM）及扩散模型的验证与实验以及工程化落地； 4、数据与基准建设：负责音频数据的清洗、特征预处理、合成数据生成及评价指标的搭建。

1、硕士及以上学位在读，计算机、信号处理、声学、人工智能或数学相关专业； 2、核心技能：熟练掌握Python及PyTorch，熟悉主流深度学习架构（Transformer、Diffusion等）； 3、实习时间：每周可实习4天以上，能连续实习5个月及以上。

加分项： 1、了解LLM、CLAP、Encodec、DiffSinger等音频/音乐生成与理解模型； 2、在ISMIR、ICASSP、Interspeech、NIPS等顶级会议发表过论文，或在相关音频/信号处理竞赛中获奖； 3、热爱音乐，具备乐理基础、编曲能力或乐器演奏经验者加分。

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