商汤语音算法研究实习生
实习兼职算法研究地点：北京 | 深圳状态：招聘
工作描述
任职要求 1.人工智能、机器学习、信号处理或计算机科学等相关专业研究生以上学历，基础扎实 2.熟悉主流的语音识别模型算法，如RNN-T、conformer、CTC 3.熟悉kaldi / K2 / wenet / espnet / whisper / FunASR 中至少两种工具 4.学习研究能力强，能够独立阅读英文文献，对解决具有挑战性的问题充满激情 5.具有扎实的机器学习理论基础，优秀的算法实现能力，熟练使用 PyTorch 等深度学习框架，掌握SSL、LLM、diffusion、对比学习等机…
登录查看完整工作描述
微信扫码，1秒登录
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.
学历+
语音识别+
https://developer.nvidia.com/blog/essential-guide-to-automatic-speech-recognition-technology/
Over the past decade, AI-powered speech recognition systems have slowly become part of our everyday lives, from voice search to virtual assistants in contact centers, cars, hospitals, and restaurants.
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/
RNN+
https://d2l.ai/chapter_recurrent-neural-networks/rnn.html
A neural network that uses recurrent computation for hidden states is called a recurrent neural network (RNN).
https://www.deeplearningbook.org/contents/rnn.html
Recurrent neural networks, or RNNs (Rumelhart et al., 1986a), are a family of neural networks for processing sequential data.
https://www.ibm.com/think/topics/recurrent-neural-networks
A recurrent neural network or RNN is a deep neural network trained on sequential or time series data to create a machine learning (ML) model that can make sequential predictions or conclusions based on sequential inputs.
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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 •••
相关职位
社招算法研究
1.人工智能、机器学习、信号处理或计算机科学等相关专业研究生以上学历，基础扎实 2.熟悉主流的语音识别模型算法，如RNN-T、conformer、CTC 3.熟悉kaldi / K2 / wenet
更新于 2025-11-18北京|深圳
实习算法
1.2027/2028 届硕士 / 博士在读，计算机、电子信息、自动化、人工智能、信号处理等相关专业优先。 2.扎实的语音信号处理、机器学习、深度学习理论基础，熟悉音频前端处理（滤波、MFCC、Fba
更新于 2026-07-02深圳
实习阿里巴巴研究型实
1.语音处理、机器学习、数据挖掘、人工智能等相关专业的硕士或博士； 2.具备较好的编程能力，动手能力强，熟练使用至少一种开源深度学习框架; 3.优秀的英文文献阅读能力,有语音领域顶会顶刊论文发表者优先
更新于 2026-06-29北京|杭州
实习阿里巴巴研究型实
1. 计算机科学、人工智能、语音处理、机器学习或相关领域的硕士或博士学位。 2. 在自然语言、语音等相关领域的研究研发经验。 3. 具备出色的编程能力，熟练掌握Pytorch等深度学习框架和Pyt
更新于 2026-03-20杭州