飞猪旅行飞猪-大模型算法专家-广告方向
社招全职4年以上地点：杭州状态：招聘♡ 收藏
工作描述
任职要求 1、计算机科学、人工智能、自然语言处理或相关专业 2、广告/搜推背景，对广告的全链路有了解。 3、4年以上大模型或 NLP 领域算法研发经验，有 Agent、RAG、Search 等方向的实战经验优先熟悉 Transformer 架构，具备大模型微调（SFT / RLHF / DPO）或推理优化的实践经验，扎实的编程能力，熟练使用 Python，熟悉 PyTorch 等主流深度学习框架具备良好的问题分析与解决能力，能够独立推进算法方案的端到端落地 加分项 有 Agent 框架开发经验（如 Lang…
登录查看完整工作描述
微信扫码，1秒登录
包括英文材料
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.
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
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.
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.
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.
还有更多 •••
相关职位
社招3-5年J0011
1、计算机、数学、统计学、人工智能等相关专业硕士及以上学历； 2、熟练掌握python/c++/java中至少一门语言，有扎实的数据结构和算法基础； 3、熟悉常用的机器学习算法， 熟练使用Pytorc
更新于 2026-03-26北京
社招8年以上核心本地商业-基
1. 大学本科及以上学历，计算机、人工智能、数学等相关专业。 2. 扎实的深度学习理论基础，精通PyTorch等主流框架，具备独立复现和改进前沿模型的能力。 3. 在NLP/多模态/强化学习至少一个方
更新于 2026-06-11北京
社招核心本地商业-基
1. 对大模型有技术热情，熟悉GPT/BERT/T5等模型的原理； 2. 熟悉Python，熟练使用TensorFlow/PyTorch/Megatron/Triton等深度学习训练或推理框架，熟悉j
更新于 2026-04-02北京|上海
社招算法开发岗
1.有计算机科学、数学、统计学或相关领域的硕士或博士学位； 2. 熟悉Python与深度学习框架，具有良好的编程能力和扎实的数学理论基础； 3.熟悉掌握大模型相关技术，有实际主导或参与过大模型训练工作
更新于 2025-10-20北京