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As an Applied Scientist, you will 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. You will then integrate these models into the production system that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Key job responsibilities
* Invent or adapt new scientific approaches, models or algorithms inspired and driven by customers’ needs and benefits at the project level.* Analyze data and identify the gaps in existing solutions, and propose innovative science solutions.* Contribute to research papers that are published at peer-reviewed internal and/or external venues, and
* Working with teams worldwide on global projects.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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