美团营销中心-大模型应用开发工程师
社招全职2-3年核心本地商业-业务研发平台地点:北京状态:招聘
任职要求
1、2-3年Java/Python开发经验,熟悉分布式系统设计,了解DDD基础概念; 2、能理解营销业务场景(如定价策略、投放逻辑),协助技术方案落地; 3、具备基础工程化能力,熟悉SpringBoot/Django等框架,有中型系统开发经验; 4、了解机器学习基础,接触过TensorFlow/PyTorch等框架优先; 5、良好的协作意识,有跨团队项目配合经验。 具备以下条件优先 1、参与过营销系统迭代或交易系统开发 2、接触过大模型基础应用(如API调用、Prompt工程) 3、了解基础特征工程或模型部署流程
工作职责
1、参与营销领域AI系统架构设计,协助大模型Agent在营销场景的工程化落地; 2、负责高并发AI工程体系的模块开发,支持智能投放、用户增长等业务需求实现; 3、参与业务系统Agent服务化部署,参与构建可监控、可解释的智能系统; 4、编写高质量代码,参与技术方案评审及AI工程规范制定; 5、协助推进MLOps工具链的基础能力建设。
包括英文材料
Java+
https://www.youtube.com/watch?v=eIrMbAQSU34
Master Java – a must-have language for software development, Android apps, and more! ☕️ This beginner-friendly course takes you from basics to real coding skills.
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.
分布式系统+
https://www.distributedsystemscourse.com/
The home page of a free online class in distributed systems.
https://www.youtube.com/watch?v=7VbL89mKK3M&list=PLOE1GTZ5ouRPbpTnrZ3Wqjamfwn_Q5Y9A
DDD+
https://ddd-crew.github.io/ddd-starter-modelling-process/
This process gives you a step-by-step guide for learning and practically applying each aspect of Domain-Driven Design (DDD) - from orienting around an organisation’s business model to coding a domain model.
[英文] Domain Driven Design
https://medium.com/@matteopampana/list/domain-driven-design-c1efaabe287e
Everyone talks about DDD, but how many understand and correctly apply Domain-Driven Design? I want to be one of them.
https://redis.io/glossary/domain-driven-design-ddd/
Domain-Driven Design (DDD) is a software development philosophy that emphasizes the importance of understanding and modeling the business domain.
Spring Boot+
https://spring.io/guides/gs/spring-boot
his guide provides a sampling of how Spring Boot helps you accelerate application development.
https://www.youtube.com/watch?v=Nv2DERaMx-4&list=PLzUMQwCOrQTksiYqoumAQxuhPNa3HqasL
The author teaches you how to use Spring Boot from a complete beginner, to building a REST API with a real database, Dockerising it and deploying it to the cloud.
Django+
https://www.youtube.com/watch?v=nGIg40xs9e4
Learn how to build a simple Django application in as fast as 20 minutes!
https://www.youtube.com/watch?v=rHux0gMZ3Eg
Learn Django and start building amazing back-ends!
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.
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.
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.
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
Prompt+
https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design
A prompt is a natural language request submitted to a language model to receive a response back.
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering
These techniques aren't recommended for reasoning models like gpt-5 and o-series models.
https://www.youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course!
特征工程+
https://www.ibm.com/think/topics/feature-engineering
Feature engineering preprocesses raw data into a machine-readable format. It optimizes ML model performance by transforming and selecting relevant features.
https://www.kaggle.com/learn/feature-engineering
Better features make better models. Discover how to get the most out of your data.
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