百度运筹优化算法工程师(LLM/Agent方向)（J96461）
社招全职ACG地点：北京状态：招聘♡ 收藏
工作描述
任职要求 -学历背景：管理科学与工程、运筹学、应用数学、计算机、自动化、交通运输等相关专业硕士及以上学历 -运筹学基础：深刻理解数学规划理论（LP / IP / MILP / MINLP / NLP）；熟练掌握至少一种主流求解器（Gurobi / CPLEX / SCIP / COPT 等）及其API调用；熟悉常用启发式/元启发式算法（如模拟退火、遗传算法、禁忌搜索、ALNS、列生成、Benders分解等） -大模型能力：熟悉 Transformer 架构及 LLM 原理，有相关开…
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包括英文材料
学历+
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.
Gurobi+
https://gurobi-machinelearning.readthedocs.io/en/stable/user/start.html
A Python package to help use trained regression models in mathematical optimization models.
https://www.youtube.com/watch?v=Er5RM06D9i8&list=PLHiHZENG6W8B_65-Unq-G59PtQtEc1Xj4
This session will provide a brief overview of the training.
CPLEX+
https://home.engineering.iastate.edu/~jdm/ee458/CPLEX-GettingStarted2017.pdf
Describes the components of CPLEX: Interactive Optimizer, Concert Technology, Callable Library.
https://www.ibm.com/docs/en/icos/22.1.2?topic=ide-getting-started-tutorial
A tutorial in which you launch the IDE, create an empty project, enter an OPL model, add data, add a settings file, create run configurations and execute them.
https://www.youtube.com/watch?v=70HH-GNR9uM
Introduction to CPLEX OPL, Work Environment, Creating a new project, run configuration, data and model files.
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/
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.
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