【岗位亮点】 前沿技术: 专注于语音大语言模型和下一代 ASR 技术,推动语音理解和生成领域的创新。 核心影响: 直接参与公司语音智能和音频处理平台旗舰产品的研发。 专家协作: 与语音 AI 和大语言模型领域的世界级研究人员和工程师并肩工作。 全面覆盖: 研究涵盖 ASR、语音生成、说话人分离、音频编解码器以及语音-语言模型集成。 【工作职责】 基于大规模模型(Transformers、Conformers、类 Whisper 架构和 Speech LLMs)设计和开发先进的语音算法。 在以下关键领域主导或参与研发和部署: 自动语音识别(ASR): 开发适用于多语言和多口音场景的鲁棒端到端 ASR 系统;优化超低延迟的流式 ASR;实现上下文感知和个性化语音识别。 语音生成: 推进具有说话人自适应能力的零样本 TTS;开发具有情感和韵律建模的可控语音合成;创建语音转换和跨语言语音生成系统。 说话人分离: 构建适用于多说话人场景的最先进说话人分离系统;开发 ASR 和分离联合模型;实现实时说话人跟踪和识别。 语音大语言模型: 设计和训练语音-文本多模态 LLMs;开发具有推理能力的语音理解模型;创建多语音任务统一模型。 神经音频编解码器: 开发用于超低比特率传输的高保真神经音频编解码器;针对语音特定应用优化编解码器;实现语音特征的可学习压缩。 紧跟学术界和工业界的最新进展,推动突破性技术在生产系统中的应用。 监督大规模语音模型的模型训练流程、性能优化和部署策略。 【任职要求】 计算机科学、电气工程、语音处理或相关领域博士学位。 具备扎实的语音信号处理理论基础,在深度学习方面有深厚的专业知识,特别是在序列建模和生成模型方面。 精通 Python,熟练掌握至少一种深度学习框架(PyTorch、TensorFlow、JAX)。 【优先条件】 在 INTERSPEECH、ICASSP、NeurIPS、ICML、ACL、IEEE TASLP 或 Computer Speech & Language 等顶级会议或期刊上发表过论文。 具有大规模模型训练的实践经验,包括语音基础模型、多模态 LLMs 或自监督语音模型。 在大规模部署语音 AI 系统方面有成功记录,具有模型压缩和边缘部署经验。 具有用于大规模训练的语音语料库创建、标注和质量评估经验。 Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click Learn for more information. About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed. Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.
高级/资深Speech算法工程师(AIGC方向)
Zoom
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Zoom
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Emerson
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