快手搜索推理优化工程师
社招全职D2867地点:北京状态:招聘
包括英文材料
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
数据结构+
https://www.youtube.com/watch?v=8hly31xKli0
In this course you will learn about algorithms and data structures, two of the fundamental topics in computer science.
https://www.youtube.com/watch?v=B31LgI4Y4DQ
Learn about data structures in this comprehensive course. We will be implementing these data structures in C or C++.
https://www.youtube.com/watch?v=CBYHwZcbD-s
Data Structures and Algorithms full course tutorial java
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/
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.
相关职位
实习引擎
1、建设小红书推荐、搜索和电商领域算法团队相关的算法工程能力 2、支持大规模算法服务的设计、开发和编排调度,满足在线审核、内容理解等业务需求 3、支持基于LLM的AI能力在小红书问答、客服等多个场景落地
更新于 2025-09-12
社招技术大类
1.负责 TapTap 离线训练、在线推理框架的优化与开发,服务于公司各个业务线,如搜索、推荐、广告、AI 等业务; 2.与公司各算法部门深度合作,分析业务性能瓶颈和系统架构特征,软硬件结合优化,实现极致性能; 3.设计和实现机器学习相关的基础设施/算法框架/工具链等,并推动落地到业务中; 4.探索业界前沿的机器学习相关技术,持续提升平台能力,降低算法使用成本。
更新于 2025-08-14
社招技术大类
1.负责 TapTap 离线训练、在线推理框架的优化与开发,服务于公司各个业务线,如搜索、推荐、广告、AI 等业务; 2.与公司各算法部门深度合作,分析业务性能瓶颈和系统架构特征,软硬件结合优化,实现极致性能; 3.设计和实现机器学习相关的基础设施/算法框架/工具链等,并推动落地到业务中; 4.探索业界前沿的机器学习相关技术,持续提升平台能力,降低算法使用成本。
更新于 2025-10-09