小红书AIGC算法实习生
实习兼职多媒体算法地点:上海 | 北京状态:招聘
任职要求
1. 计算机相关专业背景,硕士或博士优先;实习期不少于 4 个月,一周至少 4 天到岗 2. 熟悉 Stable Diffusion 有虚拟换装、人像编辑相关项目经验者优先 3. 熟悉计算机视觉相关基础模型与算法,如姿态估计、人脸关键点检测、三维人体建模等 4. 熟练掌握 PyTorch,具备良好的工程实现能力和代码风格;有大模型 Fine-tune / Prompt Engineering 经验者优先 5. 有以下任一经历将大大加分:(1)发表相关方向论文(CVPR、ICCV、ECCV、NeurIPS、SIGGRAPH 等);(2)主导或深度参与过视觉生成类项目(如 makeup transfer、style swap、virtual try-on)
工作职责
1. 基于 AIGC 研发虚拟换衣(Virtual Try-On)与虚拟化妆(Virtual Makeup)方向算法, 实现业界/学术界前沿生成技术 2. 与产品设计团队紧密合作,推动算法快速落地,提升用户体验 3. 深度参与模型调优、数据构建、效果评估等端到端研发流程 4. 鼓励创新与研究产出,支持在顶会(CVPR / ICCV / ECCV / SIGGRAPH / NeurIPS / ICML 等)投稿
包括英文材料
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.
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/
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.
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
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!
CVPR+
https://cvpr.thecvf.com/
ICCV+
https://iccv.thecvf.com/
ICCV is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials.
ECCV+
https://eccv.ecva.net/
ECCV is the official event under the European Computer Vision Association and is biannual on even numbered years.
NeurIPS+
https://neurips.cc/
Stable Diffusion+
https://course.fast.ai/Lessons/lesson9.html
This lesson starts with a tutorial on how to use pipelines in the Diffusers library to generate images.
https://www.youtube.com/watch?v=dMkiOex_cKU
earn how to use Stable Diffusion to create art and images in this full course.
相关职位
实习核心本地商业-业
1、负责AIGC大模型(文本、多模态等方向)在到家IM渠道落地(C端和B端落地) 2、负责跟踪和探索LLM(如LLama2等开源模型)、视觉理解等前沿技术,包括并不限大模型微调对齐、大模型领域知识增强、大模型策略优化、RLHF模型优化、Agent; 3、负责其他团队密切合作,包括数据工程师、前后端工程师、产品经理等,实现高质量的产品和解决方案;
更新于 2024-12-12
实习高德研究型实习生
1.跟踪和探索前沿生成式技术,包括但不限于多模态技术、大语言模型、可控图像生成、图像编辑、视频生成等。 2.研究和应用相关技术,帮助技术在实际业务(内容、广告、智能创作等)的落地。 3.具备一定的论文撰写能力和科研能力。
更新于 2025-03-27