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Open nowPosted 128 days ago

豆包语音合成大模型算法工程师 - Data语音

ByteDance19,268 open roles

Where
Hangzhou, Zhejiang, Chinese Mainland
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Your applicationOpen now豆包语音合成大模型算法工程师 - Data语音ByteDance · Hangzhou, Zhejiang, Chinese Mainland
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The clock on this job

Early applications get read.

11.5% 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. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 128 days ago

ByteDance median: 9 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。

1、负责下一代语音合成(TTS)、音频生成大模型(Seed Audio)与语音大模型核心技术的研发,包括但不限于Zero-Shot TTS、声音克隆(Voice Cloning)、跨语种合成及高表现力语音生成; 2、持续优化合成语音的音质、自然度、情感表现力,并针对端/云侧业务需求,进行模型轻量化、稳定性调优与推理加速; 3、主导音频生成技术在字节跳动的场景的落地与交付,跟进并解决真实复杂场景下的业务诉求,包括豆包、抖音、剪映、番茄小说等; 4、进行音频生成技术的Model-as-a-service应用探索,通过火山方舟进行国内和国外重点场景的业务应用能力建设,让语音技术从研究走向应用。

1、计算机科学、信号处理、人工智能等相关专业;有扎实的数学基础和算法/数据结构功底; 2、深耕语音合成领域,熟悉并掌握主流的TTS算法架构,熟悉基于大模型的音频生成技术栈(如VALL-E、SeedTTS、CosyVoice、DiTAR等),有离散音频表征(Audio Codec)、自回归/非自回归、扩散模型等研发经验者优先; 3、具备出色的工程能力和落地意识,熟练掌握PyTorch等深度学习框架;熟悉C++/CUDA或有TensorRT/ONNX推理优化、模型量化裁剪经验者优先; 4、具备强烈的责任心与自驱力,能敏锐洞察业务需求,将技术突破转化为实际的产品价值。

加分项 1、在Interspeech、ICASSP、NeurIPS、ICML、ACL等顶会上发表过语音/音频生成相关论文,或在相关技术竞赛中取得优异名次。

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