腾讯音乐技术研究-自然语言处理方向
实习兼职技术类地点:深圳 | 广州状态:招聘
任职要求
1.包括但不限于计算机、信息工程、模式识别、人工智能、自动化、软件工程、电子工程、统计学、应用数学、物理学/量子计算、信息安全、信号与信号处理等专业的硕士、博士; 2.熟悉NLP,CNN/RNN等深度学习模型经验; 3.熟悉至少一种编程语言,包括但不限于C/C++,Python,java,C#; 4.熟悉掌握NLP基础理论和算法,在一个或多个领域(如对话系统、文本分类、语义理解、知识图谱构建、篇章理解、请按分析、自然语言生成等)能够独立展开研发工作; 5.具备良好的产品服务于用户体验的意识,具备良好的理解和沟通能力,注重团队合作。
工作职责
包括但不限于: 1.负责对话系统的意图理解等核心算法研发; 2.负责对话系统中上下文语境关联理解及对话状态跟踪理解等核心算法研发; 3.负责自然语言处理相关的研发工作, 包括但不限于文本分类、实体识别、句法分析、信息抽取、知识图谱、语义理解、及对话生成等。
包括英文材料
模式识别+
https://www.mathworks.com/discovery/pattern-recognition.html
Pattern recognition is the process of classifying input data into objects, classes, or categories using computer algorithms based on key features or regularities.
https://www.microsoft.com/en-us/research/wp-content/uploads/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science.
NLP+
https://www.youtube.com/watch?v=fNxaJsNG3-s&list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S
Welcome to Zero to Hero for Natural Language Processing using TensorFlow!
https://www.youtube.com/watch?v=R-AG4-qZs1A&list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
Natural Language Processing tutorial for beginners series in Python.
https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4
The foundations of the effective modern methods for deep learning applied to NLP.
CNN+
https://learnopencv.com/understanding-convolutional-neural-networks-cnn/
Convolutional Neural Network (CNN) forms the basis of computer vision and image processing.
[英文] CNN Explainer
https://poloclub.github.io/cnn-explainer/
Learn Convolutional Neural Network (CNN) in your browser!
https://www.deeplearningbook.org/contents/convnets.html
Convolutional networks(LeCun, 1989), also known as convolutional neuralnetworks, or CNNs, are a specialized kind of neural network for processing data.
https://www.youtube.com/watch?v=2xqkSUhmmXU
MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
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
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.
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.
C#+
https://learn.microsoft.com/en-us/dotnet/csharp/
The C# guide contains articles, tutorials, and code samples to help you get started with C# and the .NET platform.
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/
相关职位
实习实习生
作为自然语言处理方向的研究工程师,你可以: 1、负责自然语言处理的算法研发,包括但不限于语义分析、意图识别、人机对话、语义挖掘、机器翻译、知识图谱、命名实体识别等; 2、负责对话系统,尤其是任务导向型对话系统的技术研究,包括自然语言理解、对话状态跟踪、对话策略学习、自然语言生成、encoder-decoder模型等; 3、负责知识图谱相关关键技术研究,解决知识图谱和自然语言深层次表示、理解与计算问题; 4、负责NLP前沿问题的研究,结合未来实际应用场景,提供技术解决方案。
校招应届生
作为自然语言处理方向的研究工程师,你可以: 1、负责自然语言处理的算法研发,包括但不限于语义分析、意图识别、人机对话、语义挖掘、机器翻译、知识图谱、命名实体识别等; 2、负责对话系统,尤其是任务导向型对话系统的技术研究,包括自然语言理解、对话状态跟踪、对话策略学习、自然语言生成、encoder-decoder模型等; 3、负责知识图谱相关关键技术研究,解决知识图谱和自然语言深层次表示、理解与计算问题; 4、负责NLP前沿问题的研究,结合未来实际应用场景,提供技术解决方案。
校招青云计划-实习生
作为自然语言处理方向的研究工程师,你可以: 1、负责自然语言处理的算法研发,包括但不限于语义分析、意图识别、人机对话、语义挖掘、机器翻译、知识图谱、命名实体识别等; 2、负责对话系统,尤其是任务导向型对话系统的技术研究,包括自然语言理解、对话状态跟踪、对话策略学习、自然语言生成、encoder-decoder模型等; 3、负责知识图谱相关关键技术研究,解决知识图谱和自然语言深层次表示、理解与计算问题; 4、负责NLP前沿问题的研究,结合未来实际应用场景,提供技术解决方案。