阿里巴巴AI推理平台-大模型评测工程师/专家-北京/杭州
社招全职3年以上技术类-开发地点:北京 | 杭州状态:招聘♡ 收藏
工作描述
任职要求 1. 学历与理论基础:计算机科学、人工智能、统计学或相关专业硕士及以上学历,具备扎实的机器学习/深度学习理论基础,熟悉常见的模型评价指标(如F1-Score、PPL、METEOR、BERTScore等)及其适用场景。 2. 编程与工程实现能力:熟练掌握Python/C++等编程语言,具有良好的代码规范与工程落地能力。熟悉Linux开发环境,能够利用Numpy、Pandas、Scipy等工具进行高效的评测数据处理与可视化分析。 3. 评测分析与问题定位能力:具备敏锐的数据敏感度和严谨的统计学思维,熟练掌握假设检验、方差分析等数理统计方法。面对Bad Case时,具备优秀的逆向分析能力,能够准确定位精度损失的数据源头(数据偏移、模型过拟合、推理逻辑错误等)。 4. 工具链与数据库操作:熟悉Redis、MySQL等数据库的基础操作,能够熟练使用Tensorboard、…
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+
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.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
Meteor
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
Linux+
https://ryanstutorials.net/linuxtutorial/
Ok, so you want to learn how to use the Bash command line interface (terminal) on Unix/Linux.
https://ubuntu.com/tutorials/command-line-for-beginners
The Linux command line is a text interface to your computer.
https://www.youtube.com/watch?v=6WatcfENsOU
In this Linux crash course, you will learn the fundamental skills and tools you need to become a proficient Linux system administrator.
https://www.youtube.com/watch?v=v392lEyM29A
Never fear the command line again, make it fear you.
https://www.youtube.com/watch?v=ZtqBQ68cfJc
NumPy+
https://numpy.org/doc/stable/user/absolute_beginners.html
NumPy (Numerical Python) is an open source Python library that’s widely used in science and engineering.
[英文] NumPy - Learn
https://numpy.org/learn/
Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community.
https://www.kaggle.com/code/themlphdstudent/learn-numpy-numpy-50-exercises-and-solution
This kernel uses exercises of NumPy from the Machine Learning Plus webpage
https://www.youtube.com/watch?v=KHoEbRH46Zk
If you've heard of Pandas and NumPy, you may think one is simply a superset of the other.
https://www.youtube.com/watch?v=QUT1VHiLmmI
Learn the basics of the NumPy library in this tutorial for beginners.
https://www.youtube.com/watch?v=VXU4LSAQDSc
This video serves as an introduction to the NumPy Python library.
Pandas+
[英文] 10 minutes to pandas
https://pandas.pydata.org/docs/user_guide/10min.html
This is a short introduction to pandas, geared mainly for new users.
[英文] Cookbook - pandas
https://pandas.pydata.org/docs/user_guide/cookbook.html#cookbook
This is a repository for short and sweet examples and links for useful pandas recipes.
https://www.kaggle.com/learn/pandas
Solve short hands-on challenges to perfect your data manipulation skills.
https://www.youtube.com/watch?v=2uvysYbKdjM
I'm super excited for this one. We're doing another complete Python Pandas tutorial walkthrough.
https://www.youtube.com/watch?v=Mdq1WWSdUtw
Filtering, Joins, Indexing, Data Cleaning, Visualizations
还有更多 •••
相关职位

社招4年以上
1. 扎实的系统编程能力,可选精通 C++/Python/Rust,熟悉高性能并发编程与内存管理。 2. 深入理解 KVCache 相关技术,PagedAttention / vAttention 等
更新于 2026-06-16北京|杭州

社招4年以上
1. 扎实的后端系统开发能力,熟悉 C++/Go/Python 中至少一种,熟悉高并发服务、分布式系统、RPC、异步编程、缓存系统与资源调度系统设计。 2. 熟悉分布式资源管控或调度系统,理解多租户隔
更新于 2026-06-16北京|杭州
社招4年以上
Qualifications 1. 扎实的系统编程能力,可选精通 C++/Python/Rust,熟悉高性能并发编程与内存管理。 2. 深入理解 KVCache 相关技术,PagedAttention
更新于 2026-09-17北京|杭州