美团【LongCat实习】面向Agentic场景的语音交互大模型前沿研究
实习兼职核心本地商业-基础研发平台地点:北京 | 上海 | 深圳状态:招聘
工作描述
任职要求 【必要项】 1.本科及以上学历,计算机、人工智能、自动化、信号处理、数学等相关专业在读; 2.在以下一个或多个领域有较深入的研究或实践经验:音频/语音大模型(Audio-LLM / Speech Language Models)、端到端语音对话系统、大语言模型(LLM)、Agent系统、语音识别/合成(ASR/TTS)、强化学习; 3.熟悉Python,熟练使用PyTorch等深度学习框架,具备较强的工程实现能力,有大规模分布式训练或流式推理优化实践经验者优先; 4.好奇心驱动,具备出色的问题分析与自主探索能力,能够在前沿不确定性较高的方向中持续推进; 5.具有良好的沟通协作能力,对追求前沿技术有强烈热情,能够与团队融洽合作,快速试验想法。 【加分项】 1.在ICASSP、Interspeech、ACL、ICLR、NeurIPS、ICML等顶会发表过相关论文者优先; 2.在有影响力的开源项目(如大模型、语音处理框架、Agent框架等)中做出过核心贡献者优先; 3.有AudioLM、VALL-E、Qwen-Audio等语音/音频大模型相关研究经验,或有Voice Agent、T…
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包括英文材料
学历+
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
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
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.
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
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