
奇虎36026秋-AIGC算法工程师-agent(北京)-4907(J11806)
校招全职算法类地点:北京状态:招聘
任职要求
1.计算机科学、人工智能、应用数学、统计学或相关专业的硕士及以上学历(特别优秀的本科生也可考虑) 2.扎实的机器学习/深度学习理论基础,熟悉常见的算法模型和框架 3.熟练掌握Python编程语言,有良好的编程习惯和代码风格 4.熟悉至少一种深度学习框架(PyTorch/TensorFlow/JAX等) 5.具备较强的问题分析和解决能力,能够将复杂问题分解并逐步解决 6.良好的团队合作精神和沟通能力,能够清晰表达技术思路和方案 7.技术能力(至少熟悉以下一个或多个方向) - 自然语言处理:熟悉大语言模型(LLM)的原理和应用,有Transformer架构相关经验 - 计算机视觉:熟悉目标检测、图像分割、图像生成等技术 - 多模态学习:了解文本-图像、语音-文本等多模态融合技术 - 强化学习:了解强化学习的基本原理和应用场景 - 图神经网络:熟悉图数据的表示学习和推理方法
工作职责
主要负责大模型评测体系构建、性能分析及优化工作,要求候选人具备Agent深度定制开发能力,掌握提示词微调和模型部署推理加速技术,致力于提升大模型在实际业务场景中的性能表现。 1. 算法研究与优化 - 研究和跟踪人工智能领域的前沿技术发展,包括但不限于大语言模型、计算机视觉、多模态融合等方向 - 针对业务场景优化现有AI算法,提升模型性能、效率和部署可行性 - 参与创新算法原型的构建和验证实验 2. 应用场景落地 - 深入理解业务需求,将AI技术与实际应用场景结合 - 设计并实现算法到产品的转化路径,解决落地过程中的技术挑战 - 优化模型在真实环境中的性能表现,包括精度、速度、资源占用等方面 3. 效果评估与迭代 - 设计科学的评估方法,量化算法性能和业务价值 - 收集用户反馈和业务数据,持续迭代优化算法 - 撰写技术文档和研究报告,分享研究成果和应用经验
包括英文材料
学历+
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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/
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.
编程规范+
[英文] Google Style Guides
https://google.github.io/styleguide/
Every major open-source project has its own style guide: a set of conventions (sometimes arbitrary) about how to write code for that project. It is much easier to understand a large codebase when all the code in it is in a consistent style.
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.
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.
JAX+
https://docs.jax.dev/en/latest/notebooks/thinking_in_jax.html
JAX is a library for array-oriented numerical computation, with automatic differentiation and JIT compilation to enable high-performance machine learning research.
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.
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
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.
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.
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.
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