淘宝闪购饿了么-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:停招
工作描述
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…
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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.
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