Amazon Senior Applied Scientist Alexa Smart Home 

United States, California, Sunnyvale 

220504519

As a Senior Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day.Key job responsibilities
Developing new inference and training techniques to improve the performance of Large Language Models for Smart Home control and Automation.
Developing robust techniques for synthetic data generation for training large models and maintaining model generalization.
Mentoring junior scientists to improve their skills, knowledge, and their ability to get things done.

- 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.