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onsite两周了,今天刚拿到offer,在search team SF,下面是一段team的介绍。
Team Mission: We are responsible for the full yelp search experience from guiding a user's intent with autocomplete to showing high quality search results that drive user engagement. We own the models that power our query understanding and search ranking as well as the infrastructure that enables development and scalability.
Projects: We leveraged our rich data on user behavior to discover patterns in how users iteratively "refine" (more precisely specify) their intent for service-related queries like movers and plumbers. To make these successful query patterns more accessible and to encourage wider engagement with them, the search team added the capability to support these refinement behaviors on the backend, including new machine-learned models to ensure excellent relevance for their search results. This project also tied in with frontend work resulting in entirely new UI elements to surface these refinement suggestions to users and to ensure users understand what's going on behind the scenes.
Technologies Used: Java, ElasticSearch, Lucene, Hystrix,
Redshift, Cassandra, NLP tools, mrjob (MapReduce), Kafka, Python
说实话,我对做machine learning/data engineering的东西会比general backend会感兴趣(因为接触的比较多吧)技术栈看上去挺吸引人。现在手上还有amazon,明天deadline,package如果在湾区的话第一年是差不多的,但是amazon不知道确定的位置和组是一大吐槽点。
所以请大家看看这两家如何选~(楼主还是想工作一两年跳槽的,今年牛逼公司都不理俺)。主要从这三个角度:
1. 公司的发展前景和reputatio
2. 能学到的技术和软技能方面的提升
3. 公司的culture
楼主近几年不打算回国。
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