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 paradigms
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
Why You'll Love It
You'll work on challenging problems at massive scale while having direct impact on how millions of customers interact with the web daily. Our team combines the innovative culture of a startup with the resources and scale of Amazon. You'll have:
- 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
- Opportunity to work with and learn from world-class scientists and engineers
- Direct influence on product strategy and technical direction
- Platform to publish research and contribute to the scientific community
Join us in building the future of intelligent web browsing that combines AI innovation with customer-centric experiences. This is your opportunity to reimagine one of computing's most fundamental tools and shape how the next generation discovers and experiences the web.
BASIC 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
PREFERRED QUALIFICATIONS
- 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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually
