高德地图算法工程师-安全数据算法
实习兼职高德地图2026届春季校园招聘地点:北京状态:招聘
任职要求
岗位要求能力 扎实的数据算法基础:精通机器学习/深度学习,熟悉PyTorch/TensorFlow框架,具备NLP/CV/多模态项目经验者优先。 对大模型技术有深入理解:熟悉Transformer、BERT、GPT等架构,有LLM微调、Prompt工程、模型压缩实践经验。 编程能力:熟练使用Python,具备工程化落地能力(C++/Go/分布式系统为加分项)。 顶会论文(NeurIPS/ICML/CVPR/CCS等)、开源项目贡献。 对AI技术有热情,并能主动实践探索,自驱好学,乐于团队协作。 【加分项】 安全领域知识:了解网络安全、数据安全、密码学基础者优先(非必需,但有强烈学习意愿)。 对AI安全攻防(如对抗样本、模型逆向)或AI伦理有研究兴趣 加入我们,用AI重新定义安全的边界!
工作职责
关于我们 我们是高德地图安全部的AI创新团队,致力于通过前沿AI技术重构下一代智能安全防御体系。2025年,我们将全面推动安全能力AI化升级,探索大模型在威胁检测、漏洞挖掘、攻防对抗等领域的突破性应用,目标是用AI重新定义网络安全、数据安全与业务安全的未来。 岗位职责 基于大模型(LLM)、深度学习等技术,设计并落地以AI为核心的安全能力,包括: 智能流量异常检测和研判 海量的图文AI审核 自动化漏洞挖掘与修复 隐私计算与数据安全的AI增强方案
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/
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
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.
NLP+
https://www.youtube.com/watch?v=fNxaJsNG3-s&list=PLQY2H8rRoyvzDbLUZkbudP-MFQZwNmU4S
Welcome to Zero to Hero for Natural Language Processing using TensorFlow!
https://www.youtube.com/watch?v=R-AG4-qZs1A&list=PLeo1K3hjS3uuvuAXhYjV2lMEShq2UYSwX
Natural Language Processing tutorial for beginners series in Python.
https://www.youtube.com/watch?v=rmVRLeJRkl4&list=PLoROMvodv4rMFqRtEuo6SGjY4XbRIVRd4
The foundations of the effective modern methods for deep learning applied to NLP.
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.
BERT+
https://www.youtube.com/watch?v=xI0HHN5XKDo
Understand the BERT Transformer in and out.
GPT+
https://www.youtube.com/watch?v=kCc8FmEb1nY
We build a Generatively Pretrained Transformer (GPT), following the paper "Attention is All You Need" and OpenAI's GPT-2 / GPT-3.
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!
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.
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
Go+
https://www.youtube.com/watch?v=8uiZC0l4Ajw
学习Golang的完整教程!从开始到结束不到一个小时,包括如何在Go中构建API的完整演示。没有多余的内容,只有你需要知道的知识。
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
NeurIPS+
https://neurips.cc/
ICML+
https://icml.cc/
CVPR+
https://cvpr.thecvf.com/
相关职位
社招技术
1. 负责滴滴国际化出行治理场景的策略模型设计、建设、开发、应用落地、持续迭代优化。 2. 尝试各类特征工程方法,挖掘集团内外部数据,优化策略模型效果。 3. 数据算法创新,了解并跟进业界领先的机器学习、图算法和大模型进展,在业务场景中灵活使用并取得创新。
更新于 2025-08-04
社招5年以上A90121A
1、负责字节跳动游戏产品线的账号/经济/支付/流量安全问题治理,包括但不限于虚假账号、账号ATO、非法代充、交易倒金等,保障游戏环境健康和公平性; 2、基于海量用户数据,分析和挖掘用户行为模式,搭建黑产风险感知和治理体系,能够挖掘业务安全痛点并且制定解决方案; 3、支持安全数据和模型能力开发、全生命周期的安全策略运营,持续提升风险治理效果和效率。
更新于 2025-01-07
实习阿里云2026届
负责面向安全业务场景的大模型能力建设,包括但不限于以下方向: 1. AI for security,利用AI技术增强网络安全和数据保护等领域的防御能力。在自动化威胁检测、分析和响应、DevSecOps等场景提升效率和攻防对抗能力; 2. Security for AI,保护AI应用系统安全,保护其免受攻击和滥用。
更新于 2025-04-23