小米顶尖应届-大模型应用开发工程师-汽车架构
校招全职地点：南京状态：招聘
工作描述
任职要求 1、计算机科学、人工智能、车辆工程等； 2、对 SFT、PEFT、强化学习、prompt engineering、RAG、Agent等大模型相关技术有深入了解，在此领域有至少一年以上的工作经验； 3、对多模态技术有一定的了解，包括 ASR、TTS、视觉内容生成、端到端多模态大模型等； 4、具备良好的编程实现能力，熟练掌握python…
登录查看完整工作描述
微信扫码，1秒登录
包括英文材料
SFT+
https://cameronrwolfe.substack.com/p/understanding-and-using-supervised
Understanding how SFT works from the idea to a working implementation...
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.
Prompt+
https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design
A prompt is a natural language request submitted to a language model to receive a response back.
https://learn.microsoft.com/en-us/azure/ai-foundry/openai/concepts/prompt-engineering
These techniques aren't recommended for reasoning models like gpt-5 and o-series models.
https://www.youtube.com/watch?v=LWiMwhDZ9as
Learn and master the fundamentals of Prompt Engineering and LLMs with this 5-HOUR Prompt Engineering Crash Course!
RAG+
https://www.youtube.com/watch?v=sVcwVQRHIc8
Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.
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.
还有更多 •••
相关职位
校招
1、计算机科学、人工智能、数据科学、知识工程、车辆工程、交通工程、可靠性工程等相关专业，博士优先； 2、熟悉知识图谱、因果推断、小样本学习、可解释AI、多源数据融合等方向； 3、熟悉Python、Py
更新于 2026-06-02南京
校招
1、精通机器学习（深度学习），具备卓越的创新研究能力，充满对未知领域的好奇心，热衷于探索前沿技术边界； 2、编程能力出色，熟练掌握至少两种编程语言，精通Pytorch/Tensorflow，能够将创造
更新于 2026-06-02北京
校招
1、计算机科学、人工智能、统计学、交通工程、车辆工程、自动化等相关专业，博士优先； 2、熟悉机器学习、深度学习、时序建模、因果推断、异常检测、多模态融合等方向； 3、熟悉Python、PyTorch、
更新于 2026-06-02南京
校招
1、本科及以上学历，扎实的编程基础（Python/C++）与良好的工程习惯； 2、精通深度学习框架底层原理（PyTorch 核心机制如 torch.compile、Autograd、TorchScri
更新于 2026-06-02北京