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Open nowPosted 206 days ago

大模型音频算法实习生

agirobot/internrecruitment367 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now大模型音频算法实习生agirobot/internrecruitment · Shanghai, Chinese Mainland
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  2. CV RocketCV written for this posting.

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

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. agirobot/internrecruitment postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 206 days ago

agirobot/internrecruitment median: 2 days open

The posting

1.模型及方案探索: 参与基于开源多模态任务下的语音交互架构设计与优化,包括但不限于语音识别、音频理解、声音事件检测、语音端到端对话等 探索低时延下的语音编码,生成,解码问题 2.数据建设: 构建多语言、多场景的高质量含多轮对话语音-文本对齐数据集(中英文为主) 设计数据增强策略解决口音、噪声、重叠语音等问题 3.评估体系: 对各类模型评估垂域场景的性能及效果 建立全链路评估指标,提升模型的性能和稳定性 完成相关项目的开发和落地,实现在机器人上技术成果转化

学术背景: 计算机科学、电子工程、应用数学、机器学习等相关专业硕士/博士在读 数学基础扎实率论、数值优化、信号处理 基础技能: 熟悉Python、C++等编程语言,掌握PyTorch/TensorFlow至少一种深度学习框架 具备扎实的数学和算法基础,熟悉深度学习和机器学习的基本理论和方法 理解大模型技术:Transformer架构、预训练与微调策略、prompt等 良好的沟通能力,较强的分析和解决问题的能力 良好的英语阅读和写作能力,能阅读撰写整理相关技术文档和论文 优先条件: 在多模态大模型、语音大模型、ASR/TTS/语音增强等方向有实战经验 在流式(streaming)方向有开源项目或论文经验 对Qwen-omni、VITA-Audio等开源大模型熟悉者优先

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