Amazon Senior Applied Scientist Amazon 

United States, California, Palo Alto 

547120333

Key job responsibilities
In this role, you will build systems that can disambiguate customer intent using real-time customer engagements, while ensuring the underlying algorithms are interpretable and their decisions are explainable to non-technical audiences. You will also build systems that will help customers express their intent and navigate them to the right Amazon destination.
On a day-to-day basis, you will:
- Design, develop, and evaluate highly innovative, scalable models and algorithms.
- Share knowledge and research outcomes via internal and external conferences and journal publications
- Project manage cross-functional Machine Learning initiatives

- 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.
- Excellent communication, both verbal and written