Postmates - Software Engineer, Data Scientist
微信又双叒叕改版了💦
点击公号右上方,选择添加“星标”
将FLAGDream设为星标好友
再记得给我们点个“赞”或“在看”
这样才不会错过我们之后的文章喔👀
职位1
Software Engineer, Web
Los Angeles, CA
Job ID: FL17742611
Postmates relies heavily on our engineering team to realize this vision. Building a software platform that is reliable, scales, and stays agile under demanding product needs is a serious technical challenge. Postmates is a three-part balancing act connecting customers, merchants, and couriers in real-time. If any piece is out of whack, the whole system suffers. Working with the Postmates engineering team offers an opportunity with explosive growth, cutting-edge technology, a highly visible charter, and a cool user-focused product vision.
Web Engineers will work on 3 apps here at Postmates: the Buyer, Fleet, and Merchant apps. We are part of a cross-functional team, working in a fast paced environment with high impact, and are responsible for the end-to-end experiences across Android, iOS, and Web. We value and foster a collaborative environment where product, design, and engineering work together every day to build and design new features for our customers.
- Build and launch consumer-facing features to millions of customers
- Tune and polish features to a high-degree of excellence
- Work closely with the design and product team to iterate on UI/UX
- Relentlessly optimize the web experience of buying with Postmates
面试
- Data Structures & Algs problems roo ted in problems that Postmates engineers hav e faced.
- Typical data structure/algorithm/system design question
职位2
Data Scientist
Job ID: FL17742612
As a Data Scientist, you’ll use your full toolkit - statistical modeling, machine learning, data mining, data visualization, and software engineering - to develop data products and models that are used by millions of users and power the growth of our business. You will collaborate with a strong team of engineers, product managers and data analysts in defining the frontier of data products and models in the three-sided marketplace.
Data scientists will work on how to formulate a model from a real business problem, determine evaluation metrics, evaluate different modeling approaches, conduct data analysis, and build features and algorithms for the various challenging problems at Postmates.
- Modeling and forecasting demand and supply to enable more intelligent matching, optimize the overall marketplace efficiency and provide valuable insights to our merchants and Postmates
- Large scale Machine Learning algorithms that powers our Search Ranking models and Personalized Recommendation Engine
- Predicting the Postmates Delivery Time (PDT) and improving the dispatching algorithm
- Determining the optimal pricing strategies to help our Postmates maximize their revenue
- Identifying suspicious transactions and malicious users for risk control
- Natural Language Processing to understand text content on Postmates platform, including named entity resolution and recognization of reviews, descriptions and interactions between users on our marketplace
面试
- What Algorithm questio ns followed by a debug question.
- A take home project involving matching jobs, couriers and transactions using python.
想要了解职位具体要求,直接扫描下方二维码,添加顾问回复【Q+Job ID】,即可获取职位详情以及申请、内推方式哦!
信息来源:
https://www.glassdoor.com
https://www.linkedin.com
版权声明:
本文由FLAGDream独家采编,未经授权禁止转载及任何形式的转化。FLAGDream除发布原创求职干货文章资料之外,致力于分享优秀职业发展相关文章。如涉及版权问题,敬请原作者原谅,并Email联系[email protected]进行处理。FLAGDream诚挚欢迎各方的品牌推广以及战略合作,如有意向请发邮件至[email protected]详谈。
分享、在看与点赞
只要你点,我们就是胖友
关键词
最新评论
推荐文章
作者最新文章
你可能感兴趣的文章
Copyright Disclaimer: The copyright of contents (including texts, images, videos and audios) posted above belong to the User who shared or the third-party website which the User shared from. If you found your copyright have been infringed, please send a DMCA takedown notice to [email protected]. For more detail of the source, please click on the button "Read Original Post" below. For other communications, please send to [email protected].
版权声明:以上内容为用户推荐收藏至CareerEngine平台,其内容(含文字、图片、视频、音频等)及知识版权均属用户或用户转发自的第三方网站,如涉嫌侵权,请通知[email protected]进行信息删除。如需查看信息来源,请点击“查看原文”。如需洽谈其它事宜,请联系[email protected]。
版权声明:以上内容为用户推荐收藏至CareerEngine平台,其内容(含文字、图片、视频、音频等)及知识版权均属用户或用户转发自的第三方网站,如涉嫌侵权,请通知[email protected]进行信息删除。如需查看信息来源,请点击“查看原文”。如需洽谈其它事宜,请联系[email protected]。