Amazon Sr Applied Scientist Hardware Silicon Systems Group 

United States, California, Sunnyvale 

236612704

Key job responsibilities
As a Sr Applied Scientist on the Edge AI ML team, you will:
- Design and implement novel algorithms for compressing and optimizing deep learning models for edge devices at the system level
- Lead complex research projects from inception to production deployment
- Define technical requirements and develop implementation plans for large-scale ML systems
- Conduct and oversee experiments to evaluate and benchmark model performance across various hardware platforms- Advance state-of-the-art efficiency in AI model deployment through novel research
- Lead exploration of emerging ML architectures (e.g., transformers, neural architecture search) for edge computing
- Drive innovation in hardware-aware ML techniques to tailor models for specific edge devices

- 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 leading technical projects and mentoring junior scientists