钉钉(千问办公)悟空事业部-大模型评测-工程师 / 专家
社招全职3年以上技术类-开发地点:杭州状态:招聘
工作描述
任职要求 必备条件 1、学历背景:计算机科学、人工智能、自然语言处理、机器学习或相关专业硕士及以上学历。 2、工作经验:3年以上NLP/LLM相关研发或评测经验,有大规模模型评测体系建设经验者优先。 3、技术基础: 1)扎实的NLP与深度学习基础,深入理解Transformer架构、预训练/微调/RLHF等技术范式。 2)熟悉主流LLM推理框架(vLLM、SGLang、Ollama等)及模型量化部署方案。 3)熟练掌握Python,具备良好的工程能力,能独立搭建评测流水线与数据处理管线。 4、评测经验: 1)熟悉主流LLM评测基准(MMLU、GSM8K、HumanEval、MT-Bench、AlpacaEval、Chatbot Arena等)。 2)有Agent评测实战经验,熟悉SWE-bench、WebArena、GAIA、AgentBench、τ-bench等至少2个Agent评测框架。 3)理解LLM-as-a-Judge方法论,有使用强模型进行自动化评分的实践经验。 5、业务理解:能将模糊的业务需求转化为清晰、可量化、可执行的评测方案,具备从真实业务中抽象评测任务的能力。 加分项 1、有多模态模型(图文/视频/音频)评测经验,熟悉MMBench、Video-MME、MMMU等多模态评测基准。 2、有MCP(Model Context Protocol)协议或A2A(Agent-to-Agent)协议的实践经验。 3、熟悉强化学习在LLM对齐中的应用(PPO、DPO、GRPO等),能从评测结果反推RL训练策略。 4、有数据标注平台或众包标注项目的管理经验,了解标注质量控制方法论。 5、在ACL、EMNLP、NeurIPS、ICLR、ICML等顶级会议发表过评测相关论文。 6、有开源项目贡献经验,或维护过有影响力的评测工具/数据集。 岗位亮…
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包括英文材料
学历+
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.
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.
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
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
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.
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.
vLLM+
https://www.newline.co/@zaoyang/ultimate-guide-to-vllm--aad8b65d
vLLM is a framework designed to make large language models faster, more efficient, and better suited for production environments.
https://www.youtube.com/watch?v=Ju2FrqIrdx0
vLLM is a cutting-edge serving engine designed for large language models (LLMs), offering unparalleled performance and efficiency for AI-driven applications.
SGLang+
[英文] Install SGLang
https://docs.sglang.ai/get_started/install.html
SGLang is a fast serving framework for large language models and vision language models.
https://github.com/sgl-project/sgl-learning-materials
Ollama+
https://www.youtube.com/watch?v=GWB9ApTPTv4
Learn how to set up and use Ollama to build powerful AI applications locally.
https://www.youtube.com/watch?v=UtSSMs6ObqY
In this short video, I'll teach you everything you need to know to get up and running with Ollama.
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