网易易盾-大模型算法专家
社招全职5-10年网易智企地点:杭州状态:招聘
任职要求
1、计算机科学、人工智能、电子信息等相关专业,硕士及以上,博士优先。 2、8年以上算法相关经验,其中3年以上大模型或多模态算法研发与业务落地经验。 3、深入掌握Transformer、Attention、LoRA、MoE、SFT、RLHF 等大模型核心概念与关键技术,并深入理解 BLIP、CLIP、LLaVA 等多模态大模型的架构设计与跨模态对齐机制,有相关算法完整的落地与优化经验。能根据垂直业务场景难点与要求,定向对大模型进行训练与优化。 4、深入掌握ReAct、CoT、RAG、Multi-Agent等核心范式,熟练掌握LangChain、LangGraph、AutoGen、CrewAI等至少一种Agent框架,有实际落地基于Tool Use、Plan-and-Execute、Multi-A…
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工作职责
1、负责多模态大模型内容风控场景中的算法研究、模型训练与业务落地。面向内容风控场景频繁对抗攻击、AIGC违规变体、隐晦风险场景等难点,持续提升复杂场景的识别效果与响应效率。 2、负责面向内容风控场景的 Agent智能体系统研发,支持安全识别链路自主规划、安全工具调用、大小模型协同、风险发现与智能迭代,提升对新型违规内容的主动发现与响应能力。 3、负责大模型与agent算法压缩、加速与部署,优化服务性能与并发能力。负责大模型与Agent的自我反思与持续学习机制与解决方案设计,不断基于反馈敏捷增量提升识别能力。 4、根据大模型与agent领域的最新技术进展,探索其在内容风控场景的价值,持续提升面向复杂场景的内容风控识别效果。
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/
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.
SFT+
https://cameronrwolfe.substack.com/p/understanding-and-using-supervised
Understanding how SFT works from the idea to a working implementation...
RLHF+
[英文] What is RLHF?
https://aws.amazon.com/what-is/reinforcement-learning-from-human-feedback/
Reinforcement learning from human feedback (RLHF) is a machine learning (ML) technique that uses human feedback to optimize ML models to self-learn more efficiently.
https://www.ibm.com/think/topics/rlhf
Reinforcement learning from human feedback (RLHF) is a machine learning technique in which a “reward model” is trained with direct human feedback, then used to optimize the performance of an artificial intelligence agent through reinforcement learning.
系统设计+
https://roadmap.sh/system-design
Everything you need to know about designing large scale systems.
https://www.youtube.com/watch?v=F2FmTdLtb_4
This complete system design tutorial covers scalability, reliability, data handling, and high-level architecture with clear explanations, real-world examples, and practical strategies.
React+
[英文] Quick Start - React
https://react.dev/learn
This page will give you an introduction to 80% of the React concepts that you will use on a daily basis.
https://www.youtube.com/watch?v=SqcY0GlETPk
Master React 18 with TypeScript! ⚛️ Build amazing front-end apps with this beginner-friendly tutorial.
https://www.youtube.com/watch?v=x4rFhThSX04
Learn modern React basics in the most interactive, hands-on way possible in the full course for beginners.
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 •••