字节跳动多模态大模型算法工程师/Agent算法工程师-国际电商
社招全职A249408地点:北京状态:招聘
工作描述
任职要求 1、在NLP、CV、多模态、大模型或Agent方向有较深入的研究或实践经验,包括但不限于多模态理解、多语言NLP、图像/视频理解、多模态检索、LLM/VLM、Embedding/SID、RAG、Tool Calling、Agent Planning等; 2、熟悉PyTorch/TensorFlow等深度学习框架,具备模型训练、调优和部署经验;了解分布式训练、混合精度训练、推理加速、TensorRT或大模型推理优化者优先; 3、具备较强的工程实践和业务落地能力,有多模态检索、商品理解、内容理解、搜索推荐、价格算法、智能Agent或AIGC项目经验者优先; 4、对大模型和多模态前沿技术保持热情,熟悉Multimodal Embedding/SID、Video LLM、Multimodal Reasoning、视觉语言对齐、长视频理解、生成式搜推等方向者优先; 5、有顶会论文、开源项目、算法竞赛经历者优先,包括但不限于ACL、…
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包括英文材料
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.
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
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
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/
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