顺丰大模型算法工程师-（时序预测）
社招全职5-10年地点：上海状态：招聘
工作描述
任职要求 1. 必备条件 * 学历：计算机科学、人工智能、统计学等相关专业硕士及以上学历（博士优先）。 * 经验：3年以上深度学习研发经验，并至少满足以下一个方向的专业要求： 2. 专业方向（二选一） * 方向一：深度时间序列预测专家 * 对时间序列预测有深刻理解，熟悉ARIMA、Prophet等经典方法及LSTM、TCN、DeepAR等深度模型。 * 具有开发或深度优化现代时序神经网络模型（如Informer, Autoformer, TimesNet等）的成功项目经验，并在公开数据集或实际业务中取得显著效果提升。 * 方向二：通用大模型开发专家 * 具备大规模语言模型（LLM）或多模态大模型的预训练、指令微调（SFT）或对齐（RLHF）全流程实践经验。 * 对Transformer架构、缩放定律、大模型训练稳定…
登录查看完整工作描述
微信扫码，1秒登录
包括英文材料
学历+
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
LSTM+
https://colah.github.io/posts/2015-08-Understanding-LSTMs/
Humans don’t start their thinking from scratch every second.
https://d2l.ai/chapter_recurrent-modern/lstm.html
The term “long short-term memory” comes from the following intuition.
https://developer.nvidia.com/discover/lstm
A Long short-term memory (LSTM) is a type of Recurrent Neural Network specially designed to prevent the neural network output for a given input from either decaying or exploding as it cycles through the feedback loops.
https://www.youtube.com/watch?v=YCzL96nL7j0
Basic recurrent neural networks are great, because they can handle different amounts of sequential data, but even relatively small sequences of data can make them difficult to train.
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.
Transformer+
https://huggingface.co/learn/llm-course/en/chapter1/4
Breaking down how Large Language Models work, visualizing how data flows through.
https://poloclub.github.io/transformer-explainer/
An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.
https://www.youtube.com/watch?v=wjZofJX0v4M
Breaking down how Large Language Models work, visualizing how data flows through.
还有更多 •••
相关职位
社招A188131
1. 硕士及以上学历，人工智能、计算机科学、电子信息技术等相关专业； 2. 具备以下至少一到两个方向的深入研究或实践经验：大语言模型、多模态大模型、大模型后训练、大模型预训练、强化学习； 3. 深入掌
更新于 2026-06-23深圳
校招研发类
1、计算机科学、软件工程、人工智能、机器学习等相关专业； 2、对未来的大模型技术发展有热情和信心； 3、具备NLP、图生文、语音、Agent相关的算法基础； 4、熟悉Python语言、PyTorch训
更新于 2026-08-18南京|上海|深圳
社招算法开发岗
1.扎实的机器学习、NLP、RL基础和出色的创新能力，在ACL/EMNLP/NAACL/NeurIPS/ICML/ICLR等顶级会议上发表论文者优先； 2.在预训练、后训练、强化学习方向有深刻研究；
更新于 2026-06-24北京
社招5-10年网易智企
1、计算机科学、人工智能、电子信息等相关专业，硕士及以上，博士优先。 2、8年以上算法相关经验，其中3年以上大模型或多模态算法研发与业务落地经验。 3、深入掌握Transformer、Attentio
更新于 2026-07-07杭州