阿里云ATH事业群-MaaS业务线-智能座舱Agent算法工程师
社招全职3年以上地点：北京 | 杭州状态：招聘♡ 收藏
工作描述
任职要求 1、技术积淀：计算机、人工智能、数学等相关专业硕士/博士学位，在机器学习、信息检索、自然语言处理、语音处理等领域具备深厚的基础理论； 2、实战经验和工程能力：具备深入理解主流对话系统架构及优化经验；掌握大模型后训练技术（如监督微调、强化学习对齐）；有语音识别、TTS、声纹、唤醒词、VAD、视觉语言模型或端侧多模态模型经验；熟悉PyTorch等主流深度学习框架，对分布式训练（如DeepSpeed、Megatron）及模型推理加速有实战积累。 3、业务洞察：对 AI 云产品有热情，能够将复杂的算法逻辑转化为解决实际商业问题的能力，具备良好的沟通协作与项目管理能力。 4、加分项： ● 深入参与过端到端语音大模型或 Omni 多模态大模型的预训练 / 后训练全流程，熟悉语音编解码、流式生成、模态对齐等关键技术环节者优先； ● 熟悉智能体框架，在 Agentic RL、Agentic RAG、Deep Research 等有落地经验； ● 在NeurIPS/ICLR/ACL/Interspeech等顶会发表搜索、推…
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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.
信息检索+
https://nlp.stanford.edu/IR-book/information-retrieval-book.html
Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008.
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
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.
语音识别+
https://developer.nvidia.com/blog/essential-guide-to-automatic-speech-recognition-technology/
Over the past decade, AI-powered speech recognition systems have slowly become part of our everyday lives, from voice search to virtual assistants in contact centers, cars, hospitals, and restaurants.
语音合成+
https://www.ibm.com/think/topics/text-to-speech
Text to speech (TTS) is a type of technology that converts text on a digital interface into natural-sounding audio.
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.
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/
智能体+
https://learn.microsoft.com/en-us/shows/ai-agents-for-beginners/
In this 10-lesson course we take you from concept to code while covering the fundamentals of building AI agents.
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
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