小米运筹优化算法工程师
社招全职4年以上A167771地点:武汉状态:招聘
包括英文材料
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/
运筹优化+
https://medium.com/gousto-engineering-techbrunch/an-introduction-to-operations-research-5a9e898b6c60
Operations research (OR) is a scientific approach to determining the optimal solution to a defined business problem.
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.
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
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.
相关职位
社招4年以上A167771
聚焦于电子产品的供应链计划领域,利用运筹学理论与方法,优化业务流程。挖掘和论证数据驱动的决策技术在生产制造领域中的应用价值。参与或主导包括(但不限于)S&OP、MDS、MPS、APS等实际业务环节中的算法需求提炼、方案设计及算法开发。
更新于 2025-05-12
实习菜鸟集团2026
1、负责运筹优化/机制设计方向的算法研究和开发,包括但不限于组合优化、博弈论、在线优化、随机优化、混合整数优化、线性规划、控制论、高性能求解软件研发、高性能数值代数方法和实现等; 2、负责将优化技术和机器学习等技术有效结合并应用于菜鸟的物流和计算资源调度等领域,实现成本降低,效率提高,提高核心竞争力; 3、负责大数据的分析和建模,沉淀行业解决方案,协助拓展业务边界。
更新于 2025-05-19
社招3-5年
1. 优化转运中心内分拣线、分拣柜、机器人等设备的生产排程,提升整体产能利用率,降低运营成本,保障高效履约; 2. 负责任务分配、流向优化、资源分配等算法设计与开发,通过产能/成本/时效多维度优化目标评估算法性能,量化算法收益;
更新于 2025-08-04