Amazon Senior Applied Scientist Ads Search Relevance 

United States, Washington, Seattle 

549007301

- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Apply deep learning and natural language processing to improve information retrieval and relevance.- Optimize deep learning inference latency by utilizing methods like knowledge distillation.
- Work with software development engineers and write code to bring models into production.

- 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.