蚂蚁金服【Plan A】AI工程师-大模型数据智能科学家- 百灵(实习)
实习兼职蚂蚁星- Plan A人才计划实习地点:北京 | 杭州状态:招聘
工作描述
任职要求 1. 计算机、人工智能、数学、统计学或相关专业博士及以上学历,面向应届毕业生; 2. 熟悉 Transformer、语言模型训练和常见后训练方法,能够使用 PyTorch 完成模型实验与分析; 3. 具备良好的线性代数、概率统计和优化基础,理解反向传播、梯度、Hessian 或 Fisher Information 等基本概念; 4. 具备扎实的 Python 编程能力,能够独立完成数据处理、算法实现、实验分析和工程化交付; 5. 具备严谨的实验意识,能够设计对照组、识别混杂因素,并根据实验结果修正技术假设; 6. 在以下至少一个方向具有课程、论文、竞赛、实习或开源项目经验: - 机制可解释性、稀疏自编码器、Transcoder、特征归因或模型干预; - 数据选择、主动学习、课程学习、影响函数、梯度匹配或数据估值; - 大模型预训练/后训练、Agent 数据合成、轨迹蒸馏或强化学习; - 分布式数据处理、训练平台、自动评测或实验管理系统; 7. 在CCF-A类顶会论文工作、开源社区或真实模型训练项目中取得可验证成果者优先。 工作职责 本岗位聚焦 Data × Model,研究训练数据、模型内部机制、参数更新与能力表现之间的关系,建立模型感…
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包括英文材料
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.
性能调优+
https://goperf.dev/
The Go App Optimization Guide is a series of in-depth, technical articles for developers who want to get more performance out of their Go code without relying on guesswork or cargo cult patterns.
https://web.dev/learn/performance
This course is designed for those new to web performance, a vital aspect of the user experience.
https://www.ibm.com/think/insights/application-performance-optimization
Application performance is not just a simple concern for most organizations; it’s a critical factor in their business’s success.
https://www.oreilly.com/library/view/optimizing-java/9781492039259/
Performance tuning is an experimental science, but that doesn’t mean engineers should resort to guesswork and folklore to get the job done.
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
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/
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