TCL感知算法工程师
社招全职研发技术类地点：深圳状态：招聘
任职要求
任职要求 1.熟练C/C++/Python，熟悉常用的计算机视觉应用和算法，精通Opencv及其他开源视觉库 2.熟悉TensorFlow,Keras,Caffe,PyTorch等常用深度学习框架至少一种；熟悉R-CNN，MTCNN 3.有Linux、Python、嵌入式编程，图像识别设备等开发经验者优先 4.熟悉至少一种推理部署框架，如：MNN/NCNN/TNN/Tengine等；或AI芯片部署，如：Rockchip/MTK等 5. 从事过智能投影仪品类者优先
工作职责
工作内容： 1.设计和实现深度学习+机器视觉的智能解决方案，包括光学测距、图像识别、图像分类、物体检测、人脸识别、手势识别 2.跟踪图像分割、图像识别、图像畸变矫正和机器视觉的最新技术和发展方向，对现有产品方案进行优化和升级 3.负责图像处理算法研究、实现和优化。根据业务场景，实现图像识别模型的研发、训练、优化、测试和部署 4.负责算法模型与系统集成
包括英文材料
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.
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.
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/
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.
Keras+
https://keras.io/getting_started/intro_to_keras_for_engineers/
Keras 3 is a deep learning framework works with TensorFlow, JAX, and PyTorch interchangeably.
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
R+
[英文] R Tutorial
https://www.w3schools.com/r/
R is often used for statistical computing and graphical presentation to analyze and visualize data.
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
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
MNN+
https://github.com/alibaba/MNN?tab=readme-ov-file#intro
MNN is a highly efficient and lightweight deep learning framework.
TNN+
https://github.com/Tencent/TNN/blob/master/README_CH.md
TNN：由腾讯优图实验室开源的高性能、轻量级神经网络推理框架。
相关职位
社招无人机业务部
1. 负责无人机/机器人的感知算法开发与落地，包括但不限于：多传感器融合算法，目标识别、检测、跟踪与场景理解算法开发与预研； 2. 设计数据采集方案与仿真测试系统 ，构建面向复杂场景的感知系统，开发适用于低光照，动态干扰等挑战环境的鲁棒算法； 3. 有良好参与无人机/机器人系统集成， 与其他团队协同开发，推动算法落地。
更新于 2025-06-22
社招2年以上自动车配送部
1.负责感知算法的设计、开发和优化，提升线上感知效果。 2.负责优化感知系统设计、架构、推理性能，完善感知系统的数据链路、评估体系。 3. 跟踪前沿的算法、系统设计，并部署到线上系统。
更新于 2025-04-30
社招3-5年
1、设计、实现和优化计算机视觉算法，解决实际问题，如目标检测、图像分割、图片分类等； 2、进行相关领域的研究和调研，关注最新的学术进展，并将其应用于公司的项目中； 3、利用深度学习技术，构建和训练神经网络模型，提高算法的准确度和鲁棒性； 4、参与数据的采集、标注和预处理工作，保障算法的数据支持； 5、与团队成员紧密合作，将算法集成到实际项目中，确保项目的成功实施； 6、负责算法的性能评估和改进，不断优化算法的效率和效果。
更新于 2025-06-04
社招3年以上算法序列
1、开发基于机器视觉的感知算法，包括不限于基于CNN、Transformer、Diffusion的多种模型 2、负责数据集与训练平台搭建，数据生产与自动化，核心AI算法开发 3、与ISP团队合作，联合训练感知网络
更新于 2025-08-18