哔哩哔哩【B-UP】音视频生成算法工程师(实习)
实习兼职技术类地点:上海状态:招聘
工作描述
工作职责:
你将参与下一代音视频生成MOE大模型的研发,包括 text-to-audio+video、image-to-audio+video、multi-reference generation、video-to-video、long video generation等多模态多任务的统一生成模…登录查看完整工作描述
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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.
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
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.
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/
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
还有更多 •••
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工作职责: 你将建设视频和音频理解能力,包括 video caption、tagging、PE 模型训练和推理优化,包括基础模型和框架搭建以及优化,根据不同模型研发周期来持续优化理解模型的精度和效率。
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1. 计算机相关专业,具备扎实的C++/Python编程功底,熟悉Linux开发环境; 2. 有GPU异构计算实践经验,熟悉CUDA编程、TensorRT部署或编译优化技术(TVM/XLA/算子融合)
更新于 2026-06-23上海
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1.具备多模态大模型的相关知识,熟悉VLM、video VLM以及长视频内容理解,了解主流的开源模型。 2.熟悉VLM、video VLM的预训练、中训练、后训练等关键流程,具备数据处理、模型训练与评
更新于 2026-06-22上海