阿里巴巴日常实习生-量化计算-AI应用算法实习生
实习兼职阿里巴巴日常实习生地点:杭州状态:招聘
工作描述
任职要求 1.基础条件 ● 计算机、数学、统计学等相关专业硕士/博士优先,优秀本科生不受限制。 ● 有顶会论文(ACL/EMNLP/ICLR/NeurIPS/ICML等)/高影响项目/开源贡献者加分。 2.专业能力 ● 模型与后训练:解Transformer/LLM模型架构、演进原理与局限;具备SFT/DPO/RL等后训练与迭代能力(含数据/评估/优化),对后训练算法有实践经验和深刻认知;拥有Agentic RL训练实操经验者优先。 ● Agent与系统编排:能做任务拆解与多Agent协作;熟悉RAG、Memory、Tool-Use(含MCP/类协议/Skills等)并能工程化落地;独立开发过具备一定影响力AI应用者优先。 ● 数据构建:具备Data-centric AI意识,精通后训练所需高质量数据挖掘与构造,具备合成数据(Synthetic Data)与动作轨迹(Trajectory)构建实践经验者优先。 ● 评测与交付:能搭建评估闭环(autorater/LLM-as-judge、离线评测、A/B);具备测试、调试、review、安全/隐私与质量门禁能力;能基于评测结果精准分析和定位问题,具备复杂多步任务的量化评估能力者优先。 ● 工程…
登录查看完整工作描述
微信扫码,1秒登录
包括英文材料
ACL+
https://www.aclweb.org/portal/
Computational linguistics is the scientific study of language from a computational perspective.
EMNLP+
ICLR+
https://iclr.cc/
NeurIPS+
https://neurips.cc/
ICML+
https://icml.cc/
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...
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/
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.
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
还有更多 •••
相关职位
实习阿里巴巴日常实习
1、人工智能、计算机及相关相关专业博士或硕士在读,在视觉生成、计算机视觉、多模态等领域基础扎实 2、代码能力扎实 ,熟练掌握PyTorch开发,有PyTorch分布式训练经验 3、熟悉生成模型(VAE
更新于 2026-08-14北京
实习阿里巴巴日常实习
1、本科及以上学历在读,计算机、人工智能、设计、统计学等相关专业优先,可实习3个月以上,每周至少4天; 2、AI 工具深度使用者——日常高频使用 Claude Code / Cursor / Qod
更新于 2026-08-14上海
实习阿里巴巴日常实习
1、深度参与AIGC产品的需求分析、功能设计与迭代规划,从用户视角出发打磨核心体验 2、调研AIGC工具及创作者生态的竞品动态,输出有深度的市场与产品分析报告 3、参与用户访谈与行为数据分析,将真实反
更新于 2026-07-29北京|杭州