高级/资深音频算法工程师(AIGC方向)
Zoom ·careers.zoom.com
Apply direct【职位亮点】
技术前沿: 聚焦大模型与生成式AI,探索下一代音频技术。
核心业务: 直接参与公司核心产品线的音频体验创新与构建。
专家团队: 与业内顶尖的算法专家和工程师合作,共同成长。
应用广泛: 研究方向覆盖语音生成、增强、编码、3D音频等多个热门领域。
【岗位职责】负责基于大型模型(Transformer, Diffusion Model等)的音频算法设计与研发。
主导或参与以下至少一个技术方向的研发与落地:
生成式音频: 包括文本到语音合成(TTS)、端到端AI编解码(E2E AI Codec)、AI音乐生成、语音修复(Speech Restoration)等。
语音增强: 攻克复杂场景下的降噪难题,特别是保留音乐背景的语音降噪;优化AI回声消除(AEC)及干扰抑制(Suppression)算法。
空间音频: 研发个性化HRTF生成与3D音频渲染算法;
负责跟进学术界与工业界的前沿进展,推动新技术在产品中的应用与迭代。
负责核心算法的模型训练、性能优化与部署,确保算法的效率与效果。
【任职要求】
计算机、电子信息、信号处理等相关专业博士。
具备扎实的数字信号处理理论基础,并精通深度学习,特别是生成式模型。
精通Python,熟练运用PyTorch或TensorFlow等至少一种深度学习框架。
【加分项】
在INTERSPEECH, ICASSP, NeurIPS, ICML, IEEE TASLP等顶级会议或期刊发表过相关论文。
具备大规模模型(LLM、多模态大模型)的训练、微调或部署经验。
Ways of Working
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