顺丰计算机视觉工程师
社招全职3-5年地点：深圳状态：招聘
任职要求
1、研究生及以上学历，2年以上工作经验，数学基础扎实，英文阅读能力良好，熟悉概率统计相关理论、深度网络框架体系和算法实现； 2、熟悉 C/C++/Python 编程，熟悉Pytorch框架； 3、具有大模型训练及应用开发经验，如语料清洗、预训练、指令微调、强化学习、内容安全等；熟悉megatron，deepspeed，vllm等训练或推理加速框架； 4、熟悉 BLIP2、LLaVA、VisualGLM、Qwen-VL、InternVL、MiniCPM 等模型结构及训练方法； 5、具备较强的沟通能力和全局思考能力，具有技术创新精神。
工作职责
1、针对物流领域场景进行深入的视觉算法研发，包括但不限于图像生成、图像理解、视频生成、视频理解等； 2、负责垂域多模态大模型的继续预训练、SFT等工作，积极跟进AIGC业内应用趋势，包括但不限于MoE、Agent、O1等方向。
包括英文材料
学历+
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/
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.
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.
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
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
Megatron+
https://www.youtube.com/watch?v=hc0u4avAkuM
DeepSpeed+
https://www.youtube.com/watch?v=pDGI668pNg0
vLLM+
https://www.newline.co/@zaoyang/ultimate-guide-to-vllm--aad8b65d
vLLM is a framework designed to make large language models faster, more efficient, and better suited for production environments.
https://www.youtube.com/watch?v=Ju2FrqIrdx0
vLLM is a cutting-edge serving engine designed for large language models (LLMs), offering unparalleled performance and efficiency for AI-driven applications.
相关职位
校招研发类
1、负责深度学习、图像理解、机器学习等前沿技术的研究，保持行业领先水平，持续突破技术上限； 2、负责计算机视觉和深度学习算法的开发与性能提升，涉及到的主要问题包括但不限于：计算摄影、图像文本处理、视频理解、精细化人景分离算法、体态识别、手势识别、物体追踪等； 3、提出和实现最前沿的算法，保持算法在工业界和学术界的领先。
更新于 2025-05-28
社招3-5年
1、针对物流领域场景进行深入的视觉算法研发，包括但不限于图像生成、图像理解、视频生成、视频理解等； 2、负责垂域多模态大模型的继续预训练、SFT等工作，积极跟进AIGC业内应用趋势，包括但不限于MoE、Agent、O1等方向。
更新于 2025-08-19
社招5-10年
1、针对物流领域场景进行深入的视觉算法研发，包括但不限于图像生成、图像理解、视频生成、视频理解等； 2、负责垂域多模态大模型的继续预训练、SFT等工作，积极跟进AIGC业内应用趋势，包括但不限于MoE、Agent、O1等方向。
更新于 2025-09-05
实习研发类
1、 广泛深入的理解各类场景下的图像和视频数据； 2、 负责视觉算法和模型开发，包括但不限于：视觉算法原型设计，深度神经网络模型设计与优化； 3、 对机器学习尤其是深度学习前沿问题进行探索与研究，结合未来实际应用场景，提供全面的技术解决方案。
更新于 2025-03-28