Sr. Applied Scientist, Silk

About the role

The Silk team is building the next evolution of browsing - one that transforms passive web consumption into an intelligent, AI-powered experience that understands and anticipates user needs.

Why 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:

• Define and own the technical vision for AI-powered browsing experiences that impact millions of users
• 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
• Shape the future of how customers interact with the vast knowledge and capabilities of the web

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 innovation
• Collaborate with product and engineering leaders to bring scientific innovations to life
• Influence the broader direction of Amazon's AI initiatives

Key responsibilities

- Conceptualize and lead innovative research in ML and AI that transforms web browsing

- Design scalable AI solutions that power next-generation browsing experiences

- Guide technical approaches for complex ML projects while working with cross-functional teams

- Drive deep data analysis to uncover customer insights and identify new opportunities

- Work closely with engineering teams to bring ML innovations to production

- Lead improvements in model scalability, efficiency, and automation

- Stay at the forefront of ML research and apply relevant innovations

- Contribute to Amazon's scientific community through publications and knowledge sharing

Qualifications

• 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.