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Job Description
Join Amazon's Silk team as a Senior Applied Scientist and lead the development of AI-powered browsing experiences that transform how millions engage with the web. This role offers the chance to innovate using advanced technologies like machine learning and natural language processing, while influencing product strategy and scientific direction.
Key Responsibilities
Conceptualize and lead innovative research in ML and AI that transforms web browsing
Design scalable AI solutions for next-generation browsing experiences
Guide technical approaches for complex ML projects while collaborating 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
Contribute to Amazon's scientific community through publications and knowledge sharing
Required Qualifications
3+ years of building machine learning models for business applications
PhD or Master's degree with 6+ years of applied research experience
Experience programming in Java, C++, Python or related languages
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
Experience with large scale distributed systems such as Hadoop, Spark
Benefits & Perks
Full range of medical benefitsFinancial benefitsEquity and sign-on payments may be offered