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Key job responsibilities
As a Sr. Applied Scientist on the team, you will lead the roadmap and strategy for applying science to solve customer problems in the automated marketing domain. This is an opportunity to come in on Day 0 and lead the science strategy of one of the most interesting problem spaces at Amazon - understanding the Amazon customer to build deeply personalized and adaptive messaging experiences. You will be part of a multidisciplinary team and play an active role in translating business and functional requirements into concrete deliverables. You will work closely with product management and the software development team to put solutions into production.You will apply your skills in areas such as deep learning and reinforcement learning while building scalable industrial systems. You will have a unique opportunity to produce and deliver models that help build best-in-class customer experiences and build systems that allow us to deploy these models to production with low latency and high throughput.
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
- Experience in model evaluation
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience in reinforcement learning and natural language processing
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