饿了么饿了么-语音识别算法专家-北京
社招全职4年以上技术类-算法地点:北京状态:招聘
任职要求
1. 计算机、人工智能、信号处理或相关专业硕士及以上学历; 2. 4年以上语音识别算法研发经验,熟悉主流ASR框架(如Kaldi、ESPnet、DeepSpeech等); 3. 具备扎实的深度学习基础,熟悉RNN、Transformer等在语音任务中的应用; 4. 熟悉大模型相关技术,有RAG、Agent架构实践经验者优先; 5. 有唤醒词检测、低资源语音识别、噪声鲁棒性优化等项目经验者优先; 6. 熟练掌握Python/C++/Java等编程语言,具备良好的工程实现能力; 7. 在语音领域会议(如Interspeech、ICASSP、ACL等)发表过论文者优先; 8. 具备良好的沟通能力和团队协作精神,能够独立推进算法落地与迭代。
工作职责
1. 负责语音识别相关算法的研发与优化,包括唤醒词模型、ASR(自动语音识别)系统的性能提升; 2. 参与外呼场景中的语音交互系统建设,提升语音识别在复杂环境下的鲁棒性和准确率; 3. 结合大模型技术,探索语音识别与生成式AI的融合应用; 4. 研究并落地RAG(检索增强生成)技术在语音语义理解中的应用; 5. 探索基于Agent技术的智能语音交互架构,构建端到端的语音智能解决方案。
包括英文材料
学历+
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.
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
RNN+
https://d2l.ai/chapter_recurrent-neural-networks/rnn.html
A neural network that uses recurrent computation for hidden states is called a recurrent neural network (RNN).
https://www.deeplearningbook.org/contents/rnn.html
Recurrent neural networks, or RNNs (Rumelhart et al., 1986a), are a family of neural networks for processing sequential data.
https://www.ibm.com/think/topics/recurrent-neural-networks
A recurrent neural network or RNN is a deep neural network trained on sequential or time series data to create a machine learning (ML) model that can make sequential predictions or conclusions based on sequential inputs.
Transformer+
https://huggingface.co/learn/llm-course/en/chapter1/4
Breaking down how Large Language Models work, visualizing how data flows through.
https://poloclub.github.io/transformer-explainer/
An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.
https://www.youtube.com/watch?v=wjZofJX0v4M
Breaking down how Large Language Models work, visualizing how data flows through.
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
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
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.
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
ACL+
https://www.aclweb.org/portal/
Computational linguistics is the scientific study of language from a computational perspective.
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