贝壳Agent算法工程师【2027届秋招】(J72260)
校招全职算法类地点：北京状态：招聘♡ 收藏
工作描述
任职要求 1、硕士及以上学历，毕业时间：2026年9月-2027年8月，计算机、人工智能、软件工程等相关专业； 2、熟悉主流深度学习框架（PyTorch / TensorFlow）； 3、掌握 NLP 基础知识（语言建模、序列建模、Transformer 结构等）； 4、了解或具备至少一种大模型训练 / 推理框架实践经验（如 HuggingFace Transformers、DeepSpeed、vLLM、verl、llama-factory、RAY、Megatron-LM 等）； 5、具备良好的编程能力（Python/C++），逻…
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包括英文材料
学历+
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.
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
LLaMA-Factory+
https://llamafactory.readthedocs.io/en/latest/
LLaMA Factory is an easy-to-use and efficient platform for training and fine-tuning large language models.
Ray+
https://github.com/ray-project/ray
Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
https://www.youtube.com/watch?v=FhXfEXUUQp0
In this video, I'll teach you everything you need to know about Apache Ray!
https://www.youtube.com/watch?v=fMiAyj2kgac
Using powerful machine learning algorithms is easy using Ray.io and Python.
https://www.youtube.com/watch?v=q_aTbb7XeL4
Parallel and Distributed computing sounds scary until you try this fantastic Python library.
Megatron+
https://www.youtube.com/watch?v=hc0u4avAkuM
还有更多 •••
相关职位
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1、 本科及以上学历，计算机、人工智能、数据科学、统计学、信息管理、管理科学、社会科学、心理学、设计、人机交互等相关背景优先。 2、 对 AI-native 产品、LLM、Agent、Workflow
更新于 2026-09-09北京|上海|深圳
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1. 专业基础： 计算机、人工智能、数学等相关专业本科及以上学历，具备扎实的机器学习 / 深度学习基础，熟悉 Transformer、大语言模型基本原理。 2. 算法与工程能力： 熟练使用 Pytho
更新于 2026-10-16北京|杭州|上海
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Qualifications 1、本科及以上学历，计算机科学与技术、人工智能、计算机、机器学习、大数据、数学等相关专业； 2、对大模型和Agent有较深入的理解，熟悉常见的LLM实施模式、PE、RAG
更新于 2026-10-16北京|上海|新加坡
校招
任职资格： 1. 本科及以上学历，计算机、人工智能、电子信息、自动化、软件或数学等相关专业； 2. 扎实的机器学习基础，在 RecSys、KDD、NeurIPS、ICML、ACL、SIGIR、ICLR
更新于 2026-10-15北京|杭州|新加坡