eBay （纳斯达克上市公司，代码 EBAY ）是全球商务的领军者，旗下拥有 eBay 在线交易市场、StubHub 和 eBay Classifieds （分类广告）平台。eBay 连接全球数以亿计的买家与卖家，通过互联商务为他们创造更多的机会。eBay 于 1995 年创立于加州硅谷，是全球最大、最具活力的交易平台之一，为用户提供高性价比的精选物品。2014 年，eBay 全年的商业交易量达到 830 亿美元
（内部真实 HC 不完全跟上面这个链接一致，如果你足够优秀，即使工作年限不够，也可一试哦！） 我会经常有空来更新一下当前紧急要招的职位，方便大家选择。
拒绝 996，上下班不打卡 各种花式福利 —— 健身房补贴，牙科补贴，餐补，地铁站 穿梭巴士 技术实力雄厚 —— 扎实的技术积累，积极回馈开源社区 https://ebay.github.io/
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Applied Researcher 2(IE)
We are the Observability Team at eBay and part of Infrastructure engineering organization. Daily, new data sources and signals come in and we are looking for intelligent people who can dive into that data, make sense of it and use it to solve large-scale problems all around monitoring and infrastructure
What you will do
Analyze the problem through all data available to you including different type of metrics, events ,traces and logs.
Applying statistical and machine learning techniques to address various problems include anomaly detection, metrics correlation and casual inferencing
Drive innovation leveraging Data Science and Machine Learning, to experiment with and establish new ways for infrastructure management
Master degree in Computer Science/Mathematics/Statistics
Deep understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo
Experience with general purpose programming language (C/C++/Python
Experience in Time series Anomaly detection, Graph Theory, Combinatorial optimization
Strong machine learning / computer vision / natural language processing experience and results in academy or industry. Publications in TOP conferences. Examples: ICML, NIPS, AAAI, IJCAI, ACL, CVPR, KDD
Applied Researcher 2(Ads)
Advertising on eBay is a key driver for our sellers to increase their selling velocity and a great growth opportunity for eBay. If you love cutting-edge Digital Advertising and Big Data technologies AND if you are passionate about bringing new ideas, energy, and dedication to improve Ads on eBay, please join the Ads team at eBay China Center of Excellence (CCOE).
We are looking for top-notch Machine Learning/Deep Learning Applied Researchers at all levels who could come and help us to build the best eCommerce Advertising Platform. People in the team are friendly, highly motivated, and extremely bright. Our team strives for a culture of professionalism, innovation, career growth, and fun. We will provide you with the best opportunity to work in a challenging, highly visible and fast paced environment.
Primary Job Responsibilities:
· Mining with big data to understand user behaviors and patterns and leverage the insights to improve Ads experience with sellers/buyers.
· Researching and developing algorithms for greater recommendation experiences
· Smart, quick learning and proactive.
· Good communication skills.
· Enthusiastic about mining big data to improve Ads experience.
· Ability to work independently and in a team to research innovative solutions to challenging business problems.
· Master degree or above in Computer Science or related field. Ph.D. is preferred.
· Technical Skills
Solid knowledge about data structure and algorithms.
Proficient in R, Python, Java, Scala, or C++ programming.
Data mining, machine learning or information retrieval background is required.
Experience with machine learning, deep learning, natural language understanding, or other AI technologies.
PD Java 算法
EP 全栈工程师和 Java 后端工程师