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豆包语音识别大模型算法实习生 - Data语音

ByteDance19,091 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now豆包语音识别大模型算法实习生 - Data语音ByteDance · Shanghai, Chinese Mainland
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Early applications get read.

12.7% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 6 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.7%7 days
  4. 20.4%14 days
  5. 35.6%30 days
  6. 58.7%60 days
This job: posted 4 hours ago

ByteDance median: 6 days open

The posting

团队介绍:Data-语音团队致力于语音、音乐等大模型AIGC技术的研发和产品创新,我们的使命是通过多模态AIGC音频技术赋能内容创作和语音交互,让内容生产、消费与互动变得更加简单、沉浸、多元化。当前团队已有成熟的大模型语音合成、语音理解、音乐生成等多模态音频技术,并持续迭代大模型端到端语音交互方案等,一方面通过中台形式服务于公司众多业务线,例如豆包/Dola、抖音/TikTok、剪映/CapCut、番茄小说、海绵音乐等产品;另一方面,团队已经通过字节跳动旗下的火山引擎开放平台-语音技术和火山方舟平台,向众多企业开放技术成熟稳定的能力和服务。

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、支持端到端语音交互技术在业务场景落地,探索语音端到端的业务应用前沿问题; 2、支持语音识别技术在字节跳动公司内外丰富的业务场景落地,解决落地过程中的前沿问题,持续优化语音识别核心技术效果; 3、搭建音频理解核心技术体系,专注音频理解的前沿技术和算法效果,追求和探索业界算法。

1、硕士及以上学位在读,计算机、软件工程等相关专业优先; 2、熟悉语音识别、音频理解、语音交互算法,并有使用大规模数据优化模型的动手经验; 3、对深度学习、LLM技术有深度了解和实战经验,熟悉PyTorch、TensorFlow等平台; 4、有不错的编码能力,熟悉Linux开发环境,熟悉C++和Python语言; 5、有独立工作能力并同时能与团队融洽相处。

加分项: 1、在相关国际会议或主流期刊上发表论文(ICASSP、Interspeech、ASRU、IEEE/ACM Transactions等); 2、语音相关比赛或机器学习相关比赛拿到国际领先名次、ACM/NOI/IOI/TopCoder等编程比赛获奖; 3、参与过有影响力开源项目; 4、沟通能力好,主人翁意识强,有组织协调能力,乐观自省。

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