
智能互联高德-AI 推荐算法工程师-信息算法专项
社招全职5年以上技术类-算法地点:北京状态:招聘
任职要求
● 学历背景:计算机、电子信息、自动化、数学、人工智能等相关专业,硕士及以上学历;有大厂搜广推经验。 ● 项目/实习经历:在机器学习、深度学习或推荐系统领域有实际项目或实习经验,具备以下至少一个方向的实践经验: ● 多模态数据处理(图像+文本) ● 自然语言处理(NLP)或大模型微调(SFT/RLHF) ● 计算机视觉(CV)或跨模态理解 ● 推荐系统(召回/排序/冷启动/混排) ● 编程能力:熟练掌握 Python,熟悉 C++ 或 Java;精通 PyTorch/TensorFlow 等主流框…
登录查看完整任职要求
微信扫码,1秒登录
工作职责
围绕高德的核心业务场景,研究大模型与推荐结合提升业务效果并落地,不限于LLM、多模态大模型SFT、RLHF、多模态理解、内容表征、推荐算法、行为序列建模、搜索算法。 你将参与以下技术方向: ● 大模型应用:LLM、多模态大模型(如Qwen-VL、ChatGLM、InternVL)、SFT、RLHF、Prompt Engineering ● 生成式推荐:基于大模型的内容生成、意图推理、序列预测、个性化生成排序 ● 推荐系统核心模块:召回、粗排、精排、重排、混排、冷启动、特征工程 ● 行为序列建模:用户长期/短期兴趣建模、时空行为预测(如下一站预测) ● 指标驱动优化:CTR、CVR、GMV、DAU、停留时长等业务指标建模与优化 ● 工程化落地:高并发推荐系统架构、AB实验平台、在线服务性能调优
包括英文材料
学历+
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
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
SFT+
https://cameronrwolfe.substack.com/p/understanding-and-using-supervised
Understanding how SFT works from the idea to a working implementation...
RLHF+
[英文] What is RLHF?
https://aws.amazon.com/what-is/reinforcement-learning-from-human-feedback/
Reinforcement learning from human feedback (RLHF) is a machine learning (ML) technique that uses human feedback to optimize ML models to self-learn more efficiently.
https://www.ibm.com/think/topics/rlhf
Reinforcement learning from human feedback (RLHF) is a machine learning technique in which a “reward model” is trained with direct human feedback, then used to optimize the performance of an artificial intelligence agent through reinforcement learning.
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.
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.
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
还有更多 •••
相关职位
社招3年以上技术类-算法
1. 负责生成式推荐算法研发,包括语义id 生成,生成式端到端模型,强化学习后训练等模块; 2. 探索模型scaling law 上限,跟进业界前沿算法; 3. 生成式推荐在高德推荐场景落地。
更新于 2026-03-25北京

社招3年以上技术类-算法
1. 负责生成式推荐算法研发,包括语义id 生成,生成式端到端模型,强化学习后训练等模块; 2. 探索模型scaling law 上限,跟进业界前沿算法; 3. 生成式推荐在高德推荐场景落地。
更新于 2026-03-31北京
社招5年以上产品类-用户型
我们正在寻找一位拥有AI Native思维的生成式推荐策略专家,深度参与并主导出行决策场景的创新与重构。你将以“行程总设计师”的身份,聚焦于行程推荐领域,实现路径规划的范式革新,定义及引领出行决策 核心职责: 1、AI Native思维重构行程推荐:深入研究并设计基于生成式AI、大语言模型、强化学习等前沿AI技术的策略框架和算法逻辑,实现对用户模糊、复合出行意图的深度理解和精准捕捉 2、行程总设计师:从路线计算到意图编排。负责定义和优化用户“意图编排”的各个环节和交互体验,实现从用户初步意向到最终行程方案的顺畅转化。 3、践行敏捷开发和快速迭代原则,将复杂的生成式推荐策略和行程编排系统拆解为可控的“更短步长”任务,实现快速设计、验证和部署,与算法、产品、研发、数据科学团队紧密协作,并持续优化推荐效果 4、制定并推动生成式推荐策略的评估标准、优化机制和风险控制体系。探索生成式AI在出行推荐领域的创新应用
更新于 2025-12-26北京