Amazon Applied Scientist AMZL Learning Product Science 

United States, Washington, Bellevue 

524834563

Key job responsibilities
* Apply science models to extract actionable information from learning feedback
* Leverage GenAI/Large Language Model (LLM) technology for scaling and automating learning experience workflows
* Design and implement metrics to evaluate the effectiveness of AI models
* Present deep dives and analysis to both technical and non-technical stakeholders, ensuring clarity and understanding and influencing business partners
* Perform statistical analysis and statistical tests including hypothesis testing and A/B testing
* Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

- PhD in computer science, computer engineering, or related field
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience programming in Java, C++, Python or related language
- 1+ years of CS, CE, ML or related field experience

- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
- Hands on experience building models with deep learning frameworks like MXNet, Tensorflow, or PyTorch