Amazon Applied Scientist Prime Tech Science - ML 

United States, Washington, Seattle 

70627785

Major responsibilities- Leverage Bandits, Supervised Learning, and Reinforcement Learning for Contextual Recommendation and Optimization Systems.- Develop offline policy estimation tools and integrate with reporting systems.- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.

- Experience programming in Java, C++, Python or related language
- PhD in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience applying theoretical models in an applied environment

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning