小红书搜广推 - 训练框架研发工程师 / 专家
社招全职引擎地点:北京 | 上海状态:招聘
任职要求
职位要求: 1、熟练掌握Linux环境下的C/C++与Python语言; 2、接触过至少一种机器学习框架(Tensorflow / PyTorch / MxNet 或其他自研框架); 3、有以下至少一项的背景知识与经验:GPU编程,编译器,高性能网络,分布式存储,集群调度; 4、具有独立解决问题的能力,良好的团队合作精神; 5、有强烈的工作责任心,较好的学习能力、沟通能力和自驱力; 6、有良好的工作文档习惯,及时按要求撰写更新工作流程及技术文档。 加分项: 1、深入研究过至少一种机器学习框架(Tensorflow / PyTorch / MxNet 或其他自研框架)的底层架构和机制; 2、熟悉至少一种经典深度学习模型及其应用场景,如CTR模型、ResNet50,BERT,或者了解GAN,强化学习,图神经网络,AutoML等; 3、熟悉CUDA编程和NV GPU架构或者其他XPU架构以及编程开发;
工作职责
【业务介绍】 作为公司统一的模型引擎团队,支撑公司内所有搜推广类业务的工程侧工作,包括了模型推理、训练、参数服务器、特征工程等服务,通过引擎能力的持续建设结合多元异构算力为业务提供高效、灵活、稳定的模型服务。 【岗位职责】 1、负责小红书搜广推-机器学习训练框架的研究与开发,服务于全公司各个产品; 2、参与机器学习训练框架底层组件的抽象,设计,优化与落地; 3、与全公司算法部门深度合作,为重点项目进行算法与系统的联合优化。
包括英文材料
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
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
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
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.
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
BERT+
https://www.youtube.com/watch?v=xI0HHN5XKDo
Understand the BERT Transformer in and out.
强化学习+
https://cloud.google.com/discover/what-is-reinforcement-learning?hl=en
Reinforcement learning (RL) is a type of machine learning where an "agent" learns optimal behavior through interaction with its environment.
https://huggingface.co/learn/deep-rl-course/unit0/introduction
This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!
https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning
Build your own video game bots, using classic and cutting-edge algorithms.
CUDA+
https://developer.nvidia.com/blog/even-easier-introduction-cuda/
This post is a super simple introduction to CUDA, the popular parallel computing platform and programming model from NVIDIA.
https://www.youtube.com/watch?v=86FAWCzIe_4
Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning.
相关职位
社招3-5年引擎
【业务介绍】 作为公司统一的模型引擎团队,支撑公司内所有搜推广类业务的工程侧工作,包括了模型推理、训练、参数服务器、特征工程等服务,通过引擎能力的持续建设结合多元异构算力为业务提供高效、灵活、稳定的模型服务。 【岗位职责】 1、负责小红书搜广推-机器学习训练框架的研究与开发,服务于全公司各个产品; 2、参与机器学习训练框架底层组件的抽象,设计,优化与落地; 3、与全公司算法部门深度合作,为重点项目进行算法与系统的联合优化。
更新于 2025-10-18
社招基础后端
岗位职责: 1、负责小红书搜广推-机器学习训练框架的研究与开发,服务于全公司各个产品; 2、参与机器学习训练框架底层组件的抽象,设计,优化与落地; 3、与全公司算法部门深度合作,为重点项目进行算法与系统的联合优化。

社招3年以上技术类
团队负责研发一站式搜广推模型机器学习平台,该岗位专注于面向搜索/推荐/广告场景的机器学习分布式训练系统研发 1、负责研发搜广推稀疏大模型分布式GPU同步训练框架,支持GPU单机多卡、多机多卡训练,支持稀疏参数的多级缓存架构和异步流水训练,满足搜广推稀疏大模型离线训练、在线学习、特征准入和淘汰等算法需求; 2、负责TensorFlow/Pytorch框架的后端GPU训练性能优化,个别自定义GPU算子的cuda kernel开发和优化; 3、参与样本数据平台、搜推模型全链路解决方案、LLM4REC等重要方向的研发,提升平台的效率和易用性,加速算法同学的模型迭代效率。
更新于 2023-12-26