
商汤Agent Harness 研究员/算法工程师
校招全职算法地点:北京 | 深圳 | 上海状态:招聘
工作描述
任职要求 1、2027届本科及以上学历,计算机、软件工程、人工智能等相关专业 ; 2、对通用人工智能和基础模型长期发展有强烈兴趣,具备优秀的学习能力、工程意识、团队协作能力和结果导向; 3、 具备较强的 AI-Native 研发工具链使用和实验能力。具备良好的论文阅读、问题抽象和实验分析能力,能够将前沿研究转化为可验证的算法方案和工程实现; 4、具备扎实的计算机基础、工程实现能力和大模型相关技术基础,熟悉 Transformer、Attention、MoE、RL、长上下文、工具调用、函数调用、RAG、Agent、多智能体协作等基础方法者优先; 5、熟悉大语言模型或多模态大模型研发流程中的至少一个环节:模型评测、数据构建、后训练、对齐、推理优化、Agent Harness、任务环境构建、工具接入、轨迹采集、自动打分、失败分析与数据闭环等; 6、 有以下经验者优先:Agent 框架研发…
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包括英文材料
学历+
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.
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
智能体+
https://learn.microsoft.com/en-us/shows/ai-agents-for-beginners/
In this 10-lesson course we take you from concept to code while covering the fundamentals of building AI agents.
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
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.
NeurIPS+
https://neurips.cc/
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