蚂蚁金服蚂蚁集团-图像 / 视频生成算法工程师-AIGC方向
社招全职3年以上技术类-算法地点:北京 | 杭州状态:停招♡ 收藏
工作描述
任职要求 1. 计算机、人工智能、数学、电子工程等相关专业,本科及以上学历,硕博优先。 2. 精通深度学习理论,熟悉常用框架(如 PyTorch、TensorFlow),能够独立实现和调优深度生成模型。 3. 有 Diffusion Models、GAN、VAE 等生成式建模经验,熟悉 Stable Diffusion、Imagen、DALL·E 或相关开源项目。 4. 熟悉 Transformer 在视觉、视频任务中的应用,如 Vision Transformer、Video Transformer、Latent Diffusion 等。 5. 有多模态任务经验(如文本转图像、文本转视频、视频到视频),掌握 CLIP、BLIP、align 模型等跨模态技术。 6. 具备模型可控性技术经验,例如 ControlNet,LoRA,DreamBooth,条件生成等。 7. 熟悉数据处理与增强方法,能…
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包括英文材料
学历+
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
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.
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.
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.
ONNX+
https://github.com/onnx/tutorials
Open Neural Network Exchange (ONNX) is an open standard format for representing machine learning models.
[英文] Introduction to ONNX
https://onnx.ai/onnx/intro/
This documentation describes the ONNX concepts (Open Neural Network Exchange).
TensorRT+
https://docs.nvidia.com/deeplearning/tensorrt/latest/getting-started/quick-start-guide.html
This TensorRT Quick Start Guide is a starting point for developers who want to try out the TensorRT SDK; specifically, it demonstrates how to quickly construct an application to run inference on a TensorRT engine.
Docker+
https://www.youtube.com/watch?v=GFgJkfScVNU
Master Docker in one course; learn about images and containers on Docker Hub, running multiple containers with Docker Compose, automating workflows with Docker Compose Watch, and much more. 🐳
https://www.youtube.com/watch?v=kTp5xUtcalw
Learn how to use Docker and Kubernetes in this complete hand-on course for beginners.
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