Join us in revolutionizing how millions of customers discover and interact with the web. The Silk team is building the next evolution of browsing one that transforms passive web consumption into an intelligent AIpowered experience that understands and anticipates user needs.
About the Role
As a Senior Applied Scientist on the Silk team youll 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 nextgeneration browser that will fundamentally change how customers shop discover content and engage with the web. Youll 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 were 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 youll have unprecedented opportunity to:
Define and own the technical vision for AIpowered 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 AIpowered 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 . Youll:
Lead the definition and development of Silks 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 Amazons AI initiatives
Key Responsibilities
Conceptualize and lead innovative research in ML and AI that transforms web browsing
Design scalable AI solutions that power nextgeneration browsing experiences
Guide technical approaches for complex ML projects while working with crossfunctional 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 Amazons scientific community through publications and knowledge sharing
Why Youll Love It
Youll 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. Youll have:
Endtoend ownership of scientific solutions that power nextgeneration 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 worldclass 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 customercentric experiences. This is your opportunity to reimagine one of computings most fundamental tools and shape how the next generation discovers and experiences the web.
3 years of building machine learning models for business application experience
PhD or Masters 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 scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit
for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150400/year in our lowest geographic market up to $260000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.