百度搜索推荐策略工程师（J105621）
社招全职MEG地点：北京状态：招聘
工作描述
任职要求 必备条件： -扎实的机器学习/深度学习基础：熟悉 LR、GBDT、FM 系列、DIN、SASRec、双塔、Transformer、多目标学习（MMOE / PLE）等搜推经典模型原理 -对推荐技术演化方向保持跟进，掌握或实践过生成式技术在推荐场景的应用：生成式建模范式（语义 ID + next-token prediction、LLM 直接生成候选、生成式召回）或对齐训练方法（SFT、奖励模型、DPO / GRPO 等） -P…
登录查看完整工作描述
微信扫码，1秒登录
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
GBDT+
https://developers.google.com/machine-learning/decision-forests/intro-to-gbdt
Like bagging and boosting, gradient boosting is a methodology applied on top of another machine learning algorithm.
https://scikit-learn.org/stable/modules/ensemble.html
Ensemble methods combine the predictions of several base estimators built with a given learning algorithm in order to improve generalizability / robustness over a single estimator.
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.
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
SFT+
https://cameronrwolfe.substack.com/p/understanding-and-using-supervised
Understanding how SFT works from the idea to a working implementation...
GRPO+
https://cameronrwolfe.substack.com/p/grpo
Most early work on RL for LLMs used Proximal Policy Optimization (PPO) as the default RL optimizer, but recent reasoning research relies upon Group Relative Policy Optimization (GRPO).
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.
还有更多 •••
相关职位
社招3-5年策略算法
- 计算机、数学、统计学等相关专业本科及以上学历。 - 熟悉 C++/Python，具备扎实的数据结构与算法功底，熟练掌握 TensorFlow/PyTorch 等主流深度学习框架。 - 在搜索、推荐
更新于 2026-03-27北京|上海
实习核心本地商业-酒
1）研究生在读，2026年及以后毕业； 2）擅长数据分析，熟练使用数据分析工具及sql； 3）具有较强的逻辑思维能力，沟通协作能力； 4）有搜广推产品、电商产品实习经历优先； 5）每周可实习5天。
更新于 2026-01-15北京
社招3-5年产品经理
1.本科及以上学历，1-5年互联网产品经验 2.扎实的逻辑分析与数据分析能力，能基于数据与业务洞察独立判断产品方向，并推动从规划到落地 3.有出色的用户视角，理解流量分发机制、效果评估体系及基本的算法
更新于 2026-09-12北京|上海|杭州
社招3年以上产品
- 本科及以上学历，3 年以上搜索或推荐策略产品经验，有视频搜索/推荐产品经验者优先； - 了解搜索与推荐相关算法基础原理，熟悉搜索与内容推荐策略设计及效果评估； - 对数据敏感，擅长通过数据分析定位
更新于 2026-04-17北京