腾讯微信搜索-强化学习高级算法工程师
社招全职WXG技术地点:北京状态:招聘
包括英文材料
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
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/
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.
相关职位
社招3年以上WXG技术
1.负责企业微信AI搜索能力建设,用大模型技术实现并优化新型企业搜索服务; 2.利用大模型、向量语义理解、个性化搜索、知识图谱等技术,解决协同办公场景下的索引构建、召回、精排等问题; 3.带领团队跟进AI搜索最新技术并用于业务落地。
更新于 2025-06-04
社招WXG技术
1.负责在微信搜索场景中强化学习算法的应用研究,推进AI生成式问答、复杂语义和多模态检索、多场景查询推荐等业务场景的应用落地; 2.结合前沿技术和应用场景需要,从数据、模型设计、训练方法等角度深入探索研究高效的强化学习算法。
更新于 2025-05-21
社招WXG技术
1.负责在微信搜索场景中强化学习流程建设和训练框架开发,应用到A1问答、语义检索等业务场景; 2.结合前沿技术和应用场景,持续优化框架性能以及稳定性,提升训练效率。
更新于 2025-05-21