腾讯微信搜索-多模态相关性算法工程师
社招全职5年以上搜一搜技术地点：北京状态：招聘
任职要求
1.岗位要求； 2.计算机视觉/机器学习/模式识别/人工智能/计算机等相关专业硕士以上学历； 3.熟练掌握 Python、c/c++等语言，有丰富自然语言处理、多模态领域实践和科研经验，熟悉pyTorch/TensorFlow/Deepspeed等深度学习框架，熟悉自然语言处理、transformer、多模态大模型领域的主流技术方案和前沿进展； 4.有自然语言处理、相关性计算、多模态大模型相关经验优先； 5.具有良好的问题分析和解决能力，能积极应对具有挑战性的工作；同时，乐观积极，具有良好的团队合作精神、沟通能力和自驱性。
工作职责
1.岗位职责； 2.负责视频、商品等搜索产品的相关性算法设计和优化，紧贴业务需求，持续优化技术方案以提升业务效果； 3.负责多模态大模型方向的技术研究和技术能力基建，提升跨模态语义理解与匹配精度； 4.跟踪前沿研究进展，根据实际应用场景不断改进与优化，并落地业务场景中。
包括英文材料
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
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.
学历+
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.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
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.
TensorFlow+
https://www.youtube.com/watch?v=tpCFfeUEGs8
Ready to learn the fundamentals of TensorFlow and deep learning with Python? Well, you’ve come to the right place.
https://www.youtube.com/watch?v=ZUKz4125WNI
This part continues right where part one left off so get that Google Colab window open and get ready to write plenty more TensorFlow code.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具，在灵活性、可读性和性能上都具备相当的优势，近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
DeepSpeed+
https://www.youtube.com/watch?v=pDGI668pNg0
相关职位
社招2年以上搜一搜技术
1.计算机视觉/机器学习/模式识别/人工智能/计算机等相关专业硕士以上学历； 2.熟练掌握 Python、c/c++等语言，有丰富自然语言处理、多模态领域实践和科研经验，熟悉pyTorch/TensorFlow/Deepspeed等深度学习框架，熟悉自然语言处理、transformer、多模态大模型领域的主流技术方案和前沿进展； 3.有自然语言处理、相关性计算、多模态大模型相关经验优先；4.具有良好的问题分析和解决能力，能积极应对具有挑战性的工作；同时，乐观积极，具有良好的团队合作精神、沟通能力和自驱性。
更新于 2025-08-29
社招微信技术
1.负责图像检索类产品中的算法设计和优化，紧贴业务需求，持续优化技术方案以提升业务效果； 2.负责目标检测、目标识别、图像检索方向的技术研究和技术能力基建； 3.跟踪前沿研究进展，根据实际应用场景不断改进与优化，并落地业务场景中。
更新于 2025-04-03
社招1年以上搜一搜技术
1.自然语言/机器学习/模式识别/人工智能/计算机等相关专业硕士以上学历； 2.熟练掌握 Python、c/c++等语言，有丰富自然语言处理、大模型领域实践和科研经验，熟悉pyTorch/TensorFlow/Deepspeed等深度学习框架，熟悉自然语言处理、transformer、大模型领域的主流技术方案和前沿进展； 3.有自然语言处理、大模型Agent相关经验优先； 4.具有良好的问题分析和解决能力，能积极应对具有挑战性的工作；同时，乐观积极，具有良好的团队合作精神、沟通能力和自驱性。
更新于 2025-10-15
社招微信技术
1.参与微信搜一搜图片/图像等多模态搜索工程研发工作，服务数亿海量用户； 2.参与搜索工程架构和产品需求研发，基础框架建设，以及系统优化工作。
更新于 2025-04-14