小红书【REDstar】基础模型算法工程师-Post-training
校招全职地点:北京 | 上海状态:招聘
工作描述
任职要求 1、本科及以上学历,计算机、人工智能和数学等相关专业; 2、深入理解 Transformer 架构及大模型训练全流程; 3、熟悉主流 VLM 架构(如 LLaVA, Qwen-VL, InternVL 等); 4、在计算机视觉(CV)、多模态学习 或 视频理解 领域有深入研究; 5、在 Search(搜索)、Code(代码生成/工程)、tool-use、alignment 或 RL(强化学习) 领域有深厚积累; 6、熟练使用 PyTorch,有DeepSpeed、Megatron-LM 或 Ray 等大规模分布式训练实战经验,或熟悉多模态模型的数据预处理流水线及大规模多机多卡训练。 加分项: 1、在 NeurIPS, ICML, ICLR, ACL, CVPR, ICCV, ECCV, 等顶会发表过高质量论文; 2、在 LLM 大家关注的 Benchmark 榜单有深入研究或优异表现。 工作职责 LLM Post-training方向: 本岗位侧重于提升大语言模型的“核心…
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包括英文材料
学历+
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
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
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.
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.
NeurIPS+
https://neurips.cc/
ICML+
https://icml.cc/
还有更多 •••
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