
Momenta4D重建算法实习生
实习兼职研发地点:北京 | 苏州 | 上海状态:招聘
工作描述
任职要求 1.计算机科学、机器人学、电子工程等相关专业硕士以上学历; 2.精通线性代数、概率论、优化理论,熟悉深度学习模型(Transformer、CNN、RNN 等)、生成式模型(如Stable Diffusion等); 3.具备扎实的计算机视觉、多视图几何、SLAM、NERF、3D Gau…
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+
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
CNN+
https://learnopencv.com/understanding-convolutional-neural-networks-cnn/
Convolutional Neural Network (CNN) forms the basis of computer vision and image processing.
[英文] CNN Explainer
https://poloclub.github.io/cnn-explainer/
Learn Convolutional Neural Network (CNN) in your browser!
https://www.deeplearningbook.org/contents/convnets.html
Convolutional networks(LeCun, 1989), also known as convolutional neuralnetworks, or CNNs, are a specialized kind of neural network for processing data.
https://www.youtube.com/watch?v=2xqkSUhmmXU
MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision
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.
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.
还有更多 •••
相关职位

实习算法序列
1. 硕士/博士在读,计算机、人工智能、自动化、机器人、测绘、数学等相关专业优先。实习时间半年及以上。 2. 具备扎实的深度学习、计算机视觉和三维几何基础,熟悉多视图几何、SfM/MVS、深度估计、点
更新于 2026-06-17上海
实习
- 目前正在攻读计算机科学、电子工程、机器人学或相关领域的硕士或博士学位。 - 具备扎实的 C++ 和 Python 编程能力。 - 熟悉 PyTorch 或 TensorFlow 等深度学习框架;对
更新于 2026-05-15北京

实习算法序列
1、技术深广度: -深厚的深度学习功底,精通 PyTorch 及常用分布式训练框架; -对 3DGS (3D Gaussian Splatting)、VGGT/Dust3R、MVS/SfM 等技术有深
更新于 2026-03-16北京|上海|香港