
商汤语音交互开发工程师
社招全职3年以上技术开发类地点:上海状态:停招♡ 收藏
工作描述
任职要求 岗位要求: 1.计算机、电子、自动化、通信等相关专业,本科及以上学历,3 年以上语音/音频相关开发经验。 2.熟悉 对话管理、语音服务框架设计,具备实际项目经验。 3.精通 音频采集与播放链路,熟悉 ALSA、AudioFlinger、AudioTrack、OpenSL ES 等音频框架。 4.熟悉 端侧 ASR/TTS 引擎部署(如 Kaldi、WeNet、PaddleSpeech、ESP-SR、PocketS…
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包括英文材料
学历+
ElasticSearch+
https://www.youtube.com/watch?v=a4HBKEda_F8
Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.
语音识别+
https://developer.nvidia.com/blog/essential-guide-to-automatic-speech-recognition-technology/
Over the past decade, AI-powered speech recognition systems have slowly become part of our everyday lives, from voice search to virtual assistants in contact centers, cars, hospitals, and restaurants.
语音合成+
https://www.ibm.com/think/topics/text-to-speech
Text to speech (TTS) is a type of technology that converts text on a digital interface into natural-sounding audio.
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
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1. 计算机/语音信号处理或相关专业,应届硕士或博士; 2. 扎实的机器学习/深度学习算法基础,熟悉常见的生成式模型的基本原理和调优; 3. 优秀的编程能力和良好的编码习惯; 4. 熟练使用至少一种主
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1.2027届本科或硕士在读,计算机、软件工程、人工智能、电子信息等相关专业。 2.扎实的计算机基础,熟悉 Linux 开发环境,掌握至少一种编程语言(Go、C++、Python、Rust 等)。
更新于 2026-07-27深圳
校招人工智能
1. 计算机、人工智能、语音信号处理、电子信息或相关专业,应届硕士或博士。 2. 扎实的机器学习/深度学习基础,熟悉生成式模型、Transformer、Diffusion、自回归建模、时序建模、多模态
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