Amazon Sr Applied Scientist Silk 

United States, Washington, Seattle 

533602842

About the Role
As a Senior Applied Scientist on the Silk team, you'll be at the forefront of defining and building the future of web browsing in the AI era. This is a unique opportunity to shape both the scientific vision and product direction of a next-generation browser that will fundamentally change how customers shop, discover content, and engage with the web. You'll have the freedom to innovate across multiple advanced domains including:
- Large language models and generative AI for intelligent browsing assistance
- Advanced recommender systems for personalized content discovery
- Natural language processing for deep web content understanding
- Novel AI applications that transform traditional browsing paradigmsWhy This Role Matters
The browser is one of the most fundamental tools of the modern internet, yet the core browsing experience has remained largely unchanged for decades. At Silk, we're reimagining what a browser can be by integrating advanced AI capabilities that make web interactions more intuitive, efficient, and valuable for our customers. As a senior scientific leader, you'll have unprecedented opportunity to:- Pioneer new approaches to web interaction that combine browsing with intelligent assistance
- Build novel solutions that bridge content discovery, shopping, and entertainment
- Drive innovation in areas like intelligent content summarization, shopping assistance, and AI-powered browsing tools
Impact and Leadership
This role combines scientific leadership with product ownership and technical execution. You'll:
- Lead the definition and development of Silk's AI strategy and roadmap
- Drive technical decisions that shape our product direction
- Mentor and grow other scientists while building a culture of innovationKey Responsibilities
- Conceptualize and lead innovative research in ML and AI that transforms web browsing
- Design scalable AI solutions that power next-generation browsing experiences- Lead improvements in model scalability, efficiency, and automation
- Stay at the forefront of ML research and apply relevant innovations
Why You'll Love It- End-to-end ownership of scientific solutions that power next-generation browser experiences
- Freedom to experiment with new ideas and approaches
- Access to vast computational resources and unique datasets- Direct influence on product strategy and technical direction

- 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.