夸克算法工程师-强化学习
校招全职智能信息秋季2026届应届生招聘地点:北京 | 杭州状态:招聘
任职要求
1. 机器学习、自然语言处理、计算机视觉、语音、跨模态表征学习等相关专业的硕士生/博士生,有扎实的研发经验; 2. 熟悉常用的机器学习框架,如PyTorch 等,熟悉 Python编程语言,有强化学习训练系统、大模型训练系统及相关底层代码库的工程开发优化经验者优先; 3. 熟悉大语言模型或多模态大模型基本知识,对GPT、Claude等闭源模型以及LLaMA、Qwen等开源模型和相关多模态大模型有基础了解和上手经验;有相关竞赛、论文或实习经验者优先。对推理模型研究和有强化学习方向相关的工作经验者优先; 4. 良好的学术调研能力,良好的逻辑和数据分析能力,有高质量论文、开源项目、ACM竞赛经历、相关学术会议组织的权威比赛获奖经历或落地项目产出者优先。 【加分项】 1. 在高影响力的开源项目中,做出过核心贡献; 2. 在国际竟赛(如:ACM ICPC,Kaggle,KDD Cup,SemEval等)中获得过优异成绩。
工作职责
1. 开展大语言模型、多模态生成/理解大模型复杂推理能力、可信性研究和奖励模型,包括但不限于自然语言处理、视觉理解、多模态生成与理解等; 2. 开展多模态大模型后训练阶段的强化学习算法研发迭代,包括:基于人类、AI、环境反馈的强化学习算法的优化升级,覆盖规则遵循、复杂推理等多个任务的多目标强化学习训练算法研发和调优,设计并实施实验; 3. 关注和学习最新前沿研究,参与学术讨论和技术交流,撰写研究报告、技术文档或论文,鼓励在国际顶级期刊或会议上发表研究成果。
包括英文材料
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.
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.
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.
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.
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.
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
GPT+
https://www.youtube.com/watch?v=kCc8FmEb1nY
We build a Generatively Pretrained Transformer (GPT), following the paper "Attention is All You Need" and OpenAI's GPT-2 / GPT-3.
Llama+
https://github.com/LlamaFamily/Llama-Chinese
Llama中文社区,实时汇总最新Llama学习资料,构建最好的中文Llama大模型开源生态,完全开源可商用。
https://www.llama.com/docs/overview/
This guide provides information and resources to help you set up Llama including how to access the model, hosting, how-to and integration guides.
数据分析+
[英文] Data Analyst Roadmap
https://roadmap.sh/data-analyst
Step by step guide to becoming an Data Analyst in 2025
Kaggle+
[英文] Kaggle Learn
https://www.kaggle.com/learn
Gain the skills you need to do independent data science projects.
相关职位
校招饿了么秋季202
我们正在构建一个创新的数据分析诊断模型,旨在通过强化学习(RL)与大语言模型(LLM)技术的结合,为商家提供智能化的店铺运营支持。该模型将帮助商家提高运营效率和服务质量,实现数据驱动的决策优化。 培养方向: 1、参与系统的需求分析、架构设计与开发工作,确保算法模型的高效落地与业务目标的达成。 2、结合大语言模型(LLM)与强化学习(RL)技术,设计并实现智能化的文本生成模型,助力商家运营效率和服务质量的全面提升。 3、持续关注并研究强化学习领域的前沿技术动态,探索新方法与新思路,推动技术创新在实际业务中的落地应用。
更新于 2025-08-05
社招3年以上腾讯广告技术
1.多目标强化学习算法开发与调优。基于业务场景构建DQN、PPO、SAC等算法的改进框架,针对延迟奖励稀疏性设计分层强化学习架构。搭建离线仿真环境与在线AB测试闭环,设计动态滑动窗口评估机制,量化算法迭代效果; 2.效果瓶颈分析与突破。构建强化学习可解释性分析工具(如SHAP值、注意力热力图),定位状态表征缺失/奖励函数偏差/探索不足等瓶颈。设计课程学习机制,通过渐进式难度提升策略解决稀疏奖励场景下的策略退化问题; 3.状态与奖励机制创新。构建异构特征融合模型,集成用户实时行为序列(LSTM)、跨场景偏好迁移(Meta Learning)等高阶状态表征。设计复合奖励函数,融合稠密奖励(点击行为)与稀疏奖励(购买行为),引入基于KL散度的奖励塑形技术; 4.跟踪深度学习、计算广告、推荐系统,deepseek等最新前沿技术,应用到多目标排序。
更新于 2025-09-26