字节跳动推荐算法高级工程师 — 抖音推荐技术
社招全职DQ7V地点:北京状态:招聘
任职要求
1、优秀的数据结构与代码功底; 2、对推荐系统或机器学习,对超大规模系统全栈开发具有浓厚兴趣; 3、优秀的分析问题和解决问题的能力,对解决挑战性问题充满激情; 4、熟悉机器学习、强化学习、自然语言处理、计算机视觉中一项或多项,对推荐系统、计算广告、搜索引擎相关领域有经验者优先。
工作职责
1、在这里,能接触字节跳动最新、业界前沿的推荐技术,能经历超大规模机器学习系统与推荐系统的全栈开发; 2、能够通过利用前沿技术优化抖音推荐Feed的核心模块,包括排序模型,多目标,召回,冷启动,探索等; 3、目前主要的研究方向包括:深度图神经网络,序列化学习,智能深度索引,深度强化学习,learning to rank,多任务学习,模型压缩与加速,automl,多模态推荐等。
包括英文材料
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
推荐系统+
[英文] Recommender Systems
https://www.d2l.ai/chapter_recommender-systems/index.html
Recommender systems are widely employed in industry and are ubiquitous in our daily lives.
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.
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.
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.
OpenCV+
https://learnopencv.com/getting-started-with-opencv/
At LearnOpenCV we are on a mission to educate the global workforce in computer vision and AI.
https://opencv.org/university/free-opencv-course/
This free OpenCV course will teach you how to manipulate images and videos, and detect objects and faces, among other exciting topics in just about 3 hours.
相关职位
社招A167603
1、利用字节跳动最新、业界前沿的推荐技术,参与机器学习系统与推荐系统的全栈开发; 2、参与前沿技术优化抖音推荐的核心模块,包括排序模型,多目标,召回,冷启动,混排,探索等; 3、探索和实现面向UGC图文分发目标的手段,包括搜推联动、基于标签的兴趣分发系统、兴趣互动分发导向等。
更新于 2024-01-04
社招A21831
1、利用字节跳动最新、业界前沿的推荐技术,参与机器学习系统与推荐系统的全栈开发; 2、参与前沿技术优化抖音推荐的核心模块,包括排序模型,多目标,召回,冷启动,混排,探索等; 3、探索和实现面向UGC图文分发目标的手段,包括搜推联动、基于标签的兴趣分发系统、兴趣互动分发导向等。
更新于 2024-01-04