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As an Applied Scientist, you will work on the design, implement and deliver models on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Key job responsibilities
* Analyzing data and metrics relevant to the customer experiences.* Recognized by internal and external peers as a thought leader in your area(s) of scientific expertise. You publish your results at top academic conferences and engage with the academic community.
Your benefits include:* Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals
- 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 neural deep learning methods and machine learning
- 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.
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