Amazon Applied Scientist III Search Quality 

United States, Washington, Seattle 

961970642

Key job responsibilities- Drive learnings from online experiments, disseminate knowledge widely.
- Author scientific documentation on the new techniques that are pioneered, to support knowledge dissemination both internally and externally.
- Develop new hypothesis and experimentation ideas that bring step change improvement to semantic matching. Mentor and guide other scientists and engineerings on related research and development.- Train new hires in model building and experimental methodologies.
We focus on developing cutting-edge models, systems, and algorithms that interpret complex natural language queries, reduce irrelevant and increase the number of semantically matched products returned. Our work encompasses techniques like bi-encoder semantic matching, leveraging diverse data sources, driving continuous improvement, and improving infrastructure and processes.

- 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 large scale distributed systems such as Hadoop, Spark etc.
- Experience with modeling tools such as PyTorch, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.