Have you ever wanted to watch a movie at the end of a long week, but haven't known what to choose? Or have you looked for a new show while waiting for the next season of Game of Thrones (or during the interminable wait until GRRM gets around to finishing his next book)? So are millions of our Amazon Video customers, and they all rely on recommendations built by Amazon Video's multiple personalization teams. While each of these teams has independent goals and use various technologies, all of them rely to varying degrees on capabilities built by the Amazon Video Computation Platform team.
We're a scrappy and growing team (hiring at all levels - SDE-1 through Principal) that's building a distributed computation platform to make it trivial for any engineering or analytical team to build models, analyze performance or prioritize product decisions. We're looking for pioneers who can innovate (and occasionally fail) quickly, distill clear requirements from a rapidly changing set of priorities and deliver results, all while helping realize our long-term vision of providing scalable, efficient computation as a service.
If you're excited by the capabilities provided by Spark/Hadoop/EMR, and the potential these technologies have to disrupt industries, we should talk.
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