哔哩哔哩【B-UP】强化学习训练算法工程师（实习）
实习兼职技术类地点：上海状态：招聘♡ 收藏
工作描述
工作职责: 1. 参与强化学习核心算法的设计、实现与优化，探索 RL 训练策略与奖励模型（RM）训练方法，提升模型能力与训练稳定性； 2. 根据个人研究方向，面向视频生成或视频理解的其中一个方向，开展强化学习研究与应用； 3. 视频生成方向：探索扩散模型的强化学习与偏好优化方法，包括 PPO、DPO、GRPO、ReRL、Diffusion NFT 等，提升生成质量、运动自然度、时序一致性与指令遵循能力； 4. 视频理解方向：探索 VLM 的强化学习训练方法，以及 Agentic RL 在视频理解任务中的应用，提升视频语义理解、…
登录查看完整工作描述
微信扫码，1秒登录
包括英文材料
学历+
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.
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/
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.
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.
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
SFT+
https://cameronrwolfe.substack.com/p/understanding-and-using-supervised
Understanding how SFT works from the idea to a working implementation...
还有更多 •••
相关职位
实习技术类
工作职责: 1、参与强化学习训练框架的研发与性能优化，根据业务需求持续演进训练策略与系统能力，提升大规模模型训练效率； 2、深度分析与定位训练系统中的性能瓶颈（包括计算、通信、存储等），实施针对性优化
更新于 2026-09-22上海
实习技术类
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
实习技术类
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
实习技术类
1、计算机、网络工程、电子信息、高性能计算、人工智能等相关专业； 2、熟悉 Linux 操作系统，掌握基础 Linux 命令，了解 Shell/Python 任意一种脚本语言，具备基础脚本编写能力；
更新于 2026-06-24上海