蚂蚁金服蚂蚁国际-预训练专家-生成式AI算法 / 支付行业模型预训练方向
社招全职3年以上技术类-开发地点:上海 | 杭州 | 成都状态:招聘
任职要求
- 计算机、人工智能或相关专业硕士及以上学历,3年算法或 AI 系统相关研发经验; - 精通 Python 与 PyTorch;扎实的大模型与推荐系统理论基础,能从论文级直接对话到工程落地; - 算法方向:在LLM预训练、 后训练对齐闭环上有一线核心经验,熟悉序列建模、生成式排序、SFT/DPO/GRPO、奖励模型、因果推断与反事实评估等关键技术; - 框架方向:在分布式训练(DP/TP/PP/EP、ZeRO、混合精度、NCCL/RDMA)或高性能推理(动态批处理、PagedAttention、量化、投机解码、模型蒸馏…
登录查看完整任职要求
微信扫码,1秒登录
工作职责
蚂蚁国际收单(Antom)支付成功率算法团队,负责为商户提供逐笔最优的国际支付决策。我们正在寻找一位预训练技术专家,在生成式 AI 算法和预训练方向做到突出深度。 - 主导生成式推荐与支付领域大模型的端到端建模与预训练/后训练全链路; - 持续跟踪生成式 AI、LLM、强化学习与高性能系统等领域的最新进展,推动技术创新与顶会论文产出; - 与算法、工程、业务团队紧密协作,将前沿研究快速工程化落地,驱动业务核心指标增长。
包括英文材料
学历+
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/
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.
PyTorch+
https://datawhalechina.github.io/thorough-pytorch/
PyTorch是利用深度学习进行数据科学研究的重要工具,在灵活性、可读性和性能上都具备相当的优势,近年来已成为学术界实现深度学习算法最常用的框架。
https://www.youtube.com/watch?v=V_xro1bcAuA
Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.
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
推荐系统+
[英文] Recommender Systems
https://www.d2l.ai/chapter_recommender-systems/index.html
Recommender systems are widely employed in industry and are ubiquitous in our daily lives.
SFT+
https://cameronrwolfe.substack.com/p/understanding-and-using-supervised
Understanding how SFT works from the idea to a working implementation...
因果推断+
https://web.stanford.edu/~swager/causal_inf_book.pdf
How best to understand and characterize causality is an age-old question in philosophy.
NCCL+
https://developer.nvidia.com/nccl
The NVIDIA Collective Communication Library (NCCL) implements multi-GPU and multi-node communication primitives optimized for NVIDIA GPUs and networking.
还有更多 •••