蚂蚁金服【蚂蚁星】财富AI Lab-大模型Agent工程-27届
校招全职2027届蚂蚁星- Plan A人才计划地点:北京 | 上海 | 杭州状态:招聘
工作描述
任职要求 1. 计算机、人工智能、软件工程、机器学习等相关专业本科及以上学历,具备扎实的工程基础; 2. 熟悉大模型基本原理,理解 Transformer、LLM 推理机制、KV Cache、Attention、上下文管理等核心概念; 3. 熟悉一种或多种大模型推理框架,如 vLLM、SGLang、TensorRT-LLM、TGI、llama.cpp 等,有实际调优经验者优先; 4. 熟悉 Agent 系统开发,理解 Function Calling、Tool Use、ReAct、Plan-and-Execute、Memory、Workflow、Multi-Agent 等机制; 5. 具备较强的 Python / C++ / Go / Java 编程能力,熟悉高并发服务、分布式系统、任务调度、异步编程、缓存和稳定性治理; 6. 具备良好的系统性能优化能力,能够分析并解决延迟、吞吐、显存、并发、冷启动、资源利用率等问题; 7. 了解 SFT、RLHF、DPO、GRPO、Reward Model 等训练或后训练方法,能够与算法团队协作完成数据和训练链路建设; 8. 具备良好的问题定位和工程排障能力,能够通过日志、Tracing、Metrics、Profile 等手段分析复杂线上问题; 9. 对大模型 A…
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包括英文材料
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.
学历+
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.
缓存+
https://hackernoon.com/the-system-design-cheat-sheet-cache
The cache is a layer that stores a subset of data, typically the most frequently accessed or essential information, in a location quicker to access than its primary storage location.
https://www.youtube.com/watch?v=bP4BeUjNkXc
Caching strategies, Distributed Caching, Eviction Policies, Write-Through Cache and Least Recently Used (LRU) cache are all important terms when it comes to designing an efficient system with a caching layer.
https://www.youtube.com/watch?v=dGAgxozNWFE
vLLM+
https://www.newline.co/@zaoyang/ultimate-guide-to-vllm--aad8b65d
vLLM is a framework designed to make large language models faster, more efficient, and better suited for production environments.
https://www.youtube.com/watch?v=Ju2FrqIrdx0
vLLM is a cutting-edge serving engine designed for large language models (LLMs), offering unparalleled performance and efficiency for AI-driven applications.
SGLang+
[英文] Install SGLang
https://docs.sglang.ai/get_started/install.html
SGLang is a fast serving framework for large language models and vision language models.
https://github.com/sgl-project/sgl-learning-materials
TensorRT+
https://docs.nvidia.com/deeplearning/tensorrt/latest/getting-started/quick-start-guide.html
This TensorRT Quick Start Guide is a starting point for developers who want to try out the TensorRT SDK; specifically, it demonstrates how to quickly construct an application to run inference on a TensorRT engine.
TGI+
https://huggingface.co/docs/text-generation-inference/en/index
Text Generation Inference (TGI) is a toolkit for deploying and serving Large Language Models (LLMs).
https://learn.ritual.net/examples/tgi_inference_with_mistral_7b
In this tutorial, we will use Huggingface's TGI (Text Generation Interface) API to query a Large Language Model (LLM) and enable users to requests jobs from it, both on-chain and off-chain.
https://www.sandgarden.com/learn/text-generation-inference-tgi
Text Generation Inference (TGI) is the process by which a trained AI model generates new text based on an input prompt, focusing on producing this text efficiently in terms of speed and computational resources.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
llama.cpp+
https://blog.steelph0enix.dev/posts/llama-cpp-guide/
No LLMs were harmed during creation of this post.
https://github.com/ggml-org/llama.cpp/discussions/15396
This is a detailed guide for running the new gpt-oss models locally with the best performance using llama.cpp.
https://www.youtube.com/watch?v=EPYsP-l6z2s
In this guide, you'll learn how to run local llm models using llama.cpp.
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.
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.
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