小米算法工程师(测试方向)-2027届
实习兼职地点:南京状态:招聘
任职要求
1. 计算机、人工智能、机器学习、自动化等相关专业博士学历; 2. 在以下一个或多个方向具备研究或实践经验: - 大语言模型(LLM) - Agent / Multi-Agent Systems - 强化学习(RL/RLHF) - 多模态模型(VLM) - 自动规划与决策 - AI4SE(AI for Software Engineering) - GUI Understanding / Computer Use 3. 具备扎实的算法基础与工程能力,熟悉 Pyt…
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工作职责
职位职责 1. 参与 AI Native 软件工程体系建设,探索大模型、Agent、多模态等技术在软件测试中的落地应用; 2. 研究并构建 GUI Agent / Mobile Agent 等智能体能力,提升 AI 对软件系统的理解、规划、执行与交互能力; 3. 参与 AI 驱动的软件验证与质量评估体系建设,包括任务规划、自动执行、结果分析与反馈闭环; 4. 探索 AI 在复杂长链路场景中的自主决策、稳定执行、自反馈与持续优化机制; 5. 参与多模态软件理解相关能力建设,包括 UI Understanding、Screen Grounding、视觉交互等方向; 6. 推动 Agent、LLM、多模态等技术在移动端、自动化验证、探索式交互等真实业务场景中的工程化落地; 7. 跟踪 AI Agent、AI4SE(AI for Software Engineering)、多模态模型等前沿技术,并结合业务场景进行创新实践。
包括英文材料
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.
学历+
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
AI agent+
https://www.ibm.com/think/ai-agents
Your one-stop resource for gaining in-depth knowledge and hands-on applications of AI agents.
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.
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.
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