Grab,东南亚科技创业公司独角兽,为东南亚各国家提供出行,支付,金融,地图,外卖,送餐,物流等服务,业务遍布 8 个国家 336 个城市。2018 年 3 月收购了 Uber (优步)在东南亚的业务之后,Grab 已经在整个东南亚出行领域占据领先地位。Grab 全球范围内有新加坡,西雅图,北京,班加罗尔,雅加达,胡志明市、吉隆坡等研发中心,共计数千人的研发团队。
Grab 的使命是“Drive Southeast Asia Forward”。为了达成这个使命,我们持续邀请各球优秀技术人才和我们一起共同进步。东南亚是拥有六亿潜在用户的多元文化地区,这里却还没有足够好用的互联网产品,一切都将由我们一起来改变!
Grab 北京研发中心地址:融科资讯中心 B 座 和 中海环宇萃。 便捷的地理位置,一流的硬件设备,优雅的办公环境,免费水果零食饮料无限供应。
招聘岗位及 JD
1、本科及以上学历,计算机、通信等相关专业; 2、具有扎实的编程功底,良好的设计能力和编程习惯; 3、熟悉 Flutter 编程语言,熟练使用各种 UI 组件并进行 UI 开发,并对 Java 语言有一定的了解; 4、2 年以上 IOS 开发经验; 5、熟悉常用单元测试框架,具有敏锐的抽象和封装意识,熟练编写单元测试代码,保证代码质量; 6、有 iOS、Web 前端例如 ReactNative 或 Web 后端经验优先,有知名开源作品优先; 7、熟练使用 Git 常用操作命令,并熟悉常用的基于 Git 的代码版本控制平台 Github,Gitlab 等; 8、具备较强的分析解决问题能力和抗压能力,对新技术富有好奇心,积极探索,快速学习并应用到产品中; 9、有良好的产品意识和风险意识,能够把控好工作进度,积极乐观,认真负责,善于沟通,乐于协作,有强烈
基本要求:
岗位职责: 1.后端开发和系统架构设计。 2.核心模块编程及技术文档编写。 职位要求:
About us We're a small team of engineers who envision, develop, and manage the systems and workflows that enable a diverse group of users at GrabFood to apply machine learning to a wide range of business problems. To make this possible, we need to address questions like these: • What's the best way to architect and scale a distributed search system? • How can we help data scientists reproduce their research and be more collaborative? • How do we build flexible pipelines that can rapidly evolve to handle new technologies and modeling approaches? • How can we make various types of data, such as natural language, photo assets, and tabular data easily available for machine learning pipelines?
Some of the areas you'll work in: • Recommender Systems and Personalization. Almost every aspect of the GrabFood experience is personalized, and much of that personalization is driven by our various flavors of recommendation algorithms. You’ll apply a number of techniques, from the latest in deep learning, reinforcement learning, to causal inference. • Search Ranking and Query Understanding. You’ll work on the algorithms that allow our members to interactively query and explore our catalog. Using the latest in NLP techniques, you’ll solve problems including: query understanding, knowledge graph discovery, and learning to rank across our global catalog of titles. • Large Scale Machine Learning. Grab is available in over 8 countries, with over 163+ million downloads. This gives us a unique dataset to work with, but also unique challenges in how we scale our models. You’ll work on cutting edge techniques to scale your models for use in our production systems. If you’re passionate about applying cutting edge machine learning in a product that is used by hundreds of millions of people around the world, then we’d love to talk to you!
Requirements: • 8+ years of software development experience in industry • Experience in recommendation systems, search, or NLP • Successful track record of delivering results in complex cross-functional projects • Great communication skills • BS(MS/PhD preferred) in Computer Science Preferred, but not required: • Strong background in machine learning with a broad understanding of unsupervised • Supervised learning methods • Open source contributions
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