
同花顺Agent开发工程师
校招全职AI 算法类地点:杭州状态:招聘
任职要求
1、 2026届及以后毕业,硕士在读,人工智能、计算机科学、数学、设计学、市场营销相关专业优先,鼓励跨学科背景申请;有编程/数模竞赛获奖经历优先。 2、技术能力: 1)具备出色的编程能力,精通Python/C++,熟悉TensorFlow/PyTorch等框架,有自然语言处理(NLP)、计算机视觉(CV)或多模态生成模型(如CLIP、Diffusion Models)项目经验; 2)熟悉营销技术栈(如CRM、广告投放平台API)或AIGC工具链(LangChain、AutoGPT)者优先; 3)熟悉大模型理论知识和应用,熟悉常见大模型架构,理解实际业务场景Agent设计理念;有实际大模型预训练、微调或推理优化经验者优先; 4)熟悉搜索、推荐引擎技术,有向量化数据库,搜索召回、排序和相关性等技术基础或实际应用者优先。 3、学术与实践经验: 1)在ACL/CVPR/SIGIR/KDD/NeurIPS/ICCV等顶会发表过AIGC、推荐系统、计算广告相关论文者优先; 2)有营销自动化平台开发、广告创意生成系统搭建经验者优先; 3)热爱视频剪辑,对常用视频剪辑工具有使用经验者优先。
工作职责
1、负责AI视频编辑方向的agent模型训练与评测,使用SFT/RLHF/post-training 等技术对视频创作进行领域知识建模; 2、提升视频创作Agent大模型的增强模型和安全能力的指令遵从能力、提升pre-trained Model在视频创作的能力,构建行业领先的视频创作专家的智能Agent。
包括英文材料
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.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
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.
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.
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.
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.
LangChain+
https://python.langchain.com/docs/tutorials/
New to LangChain or LLM app development in general? Read this material to quickly get up and running building your first applications.
https://www.freecodecamp.org/news/beginners-guide-to-langchain/
LangChain is a popular framework for creating LLM-powered apps.
AutoGPT+
[英文] What is AutoGPT?
https://www.ibm.com/think/topics/autogpt
https://www.youtube.com/watch?v=v-5AWQlTFw8
Someone has created a version of ChatGPT called AutoGPT and it’s a lot more powerful.
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
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
CVPR+
https://cvpr.thecvf.com/
NeurIPS+
https://neurips.cc/
ICCV+
https://iccv.thecvf.com/
ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials.
推荐系统+
[英文] Recommender Systems
https://www.d2l.ai/chapter_recommender-systems/index.html
Recommender systems are widely employed in industry and are ubiquitous in our daily lives.
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校招技术类
1、参与 AI Agent (智能体) 应用的设计、开发与实现,探索大语言模型 (LLM) 的能力边界。 2、负责为 Agent 开发和集成各类工具 (Tools),实现与内外部 API、数据库和服务的交互。 3、构建和维护 Agent 应用的评估体系,持续优化 Agent 的性能、稳定性和任务成功率。 4、与业务研发和算法团队紧密合作,将创新的想法快速转化为可落地的技术解决方案。