理想汽车多模态大模型算法实习生
实习兼职算法地点:北京状态:招聘
任职要求
1. 音频信号处理、语音信号处理、机器学习等相关专业; 2. 熟悉传统机器学习基础理论,熟练掌握Kaldi、TensorFlow、Pytorch等社区开源工具中的一种及以上; 3. 熟练C/C++,Python,Shell编程语言,对数据结构和算法设计有深刻理解,参加过ACM等编程比赛的优先; 4. 参与过回声消除、声学定位、语音分离、语音增强、语音识别、唇语识别、手写识别、OC…
登录查看完整任职要求
微信扫码,1秒登录
工作职责
1. 负责音频、语音等算法的处理和实现; 2. 负责智能座舱内语音分离与增强、语音唤醒、语音识别算法的研发和落地; 3. 负责多模态融合算法、多模态大语言模型的研发与落地。
包括英文材料
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
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.
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.
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.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
Bash+
[英文] The Bash Guide
https://guide.bash.academy/
A quality-driven guide through the shell's many features.
https://www.youtube.com/watch?v=tK9Oc6AEnR4
Understanding how to use bash scripting will enhance your productivity by automating tasks, streamlining processes, and making your workflow more efficient.
还有更多 •••
相关职位
实习策略算法
1、基于大模型等前沿技术,构建多模态内容理解模型,并应用到小红书多模态搜索来解决实际业务问题 2、进行大模型前沿技术探索和研发,发表国际顶级论文 3、参与多模态大模型相关的业务落地,包括但不限于笔记图文/视频多模态内容理解、视频结构化、多模态意图理解等
更新于 2025-05-24上海|北京
实习D13918
1、跟踪、探索大模型方向/多模态预训练方向的前沿技术,将各方向的SOTA能力集成到模型底座上,提升下游任务的效果,打造团队的技术先进性; 2、多模态大模型结构的设计、训练任务的规划、预训练流程以及下游功能的开发等。
更新于 2025-07-16杭州
实习高德研究型实习生
我们正在寻找对多模态技术充满热情的算法工程师,加入我们的前沿技术研发团队。您将专注于多模态理解与生成,推动其在地图数据、信息流推荐、打车服务等场景中的落地应用,为用户提供更智能、更沉浸的服务。 主要职责 1、多模态模型研发:开发业界领先的图文多模态理解与生成模型,结合扩散模型(Diffusion Models)、Transformer架构等实现高质量场景理解和动态内容生成。 2、模型优化与性能提升:优化多模态模型的推理速度和计算效率,支持端侧部署。探索适合大模型的压缩与加速技术(包括但不限于量化、剪枝、知识蒸馏等)。 3、业务场景落地:将多模态技术应用于实际业务场景,如地图数据(道路、POI等)、信息流推荐、打车服务等。与产品、工程团队合作,推动技术从研发到上线的全流程落地。 4、前沿技术探索:持续跟踪生成式AI(Generative AI)、跨模态对齐、思维链强化学习、多模态交互、具身智能等最新技术趋势,提出创新性解决方案。
更新于 2025-07-29北京