Amazon Senior Applied Scientist Amazon Advertising - Sponsored Products & Brands 

United States, California, Palo Alto 

216551058

Key job responsibilities
- Serve as a tech lead for defining the science roadmap for projects using GenAI to understand shoppers intent, help them discover the right products, and explain how they are related to their shopping mission.
- Build POCs, optimize and deploy models into production, run experiments, perform deep dives on experiment data to gather actionable learnings and communicate them to senior leadership
- Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production- Research new machine learning approaches to drive continued scientific innovation

- 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.
- Published research work in academic conferences or industry circles.
- Experience in any of the following areas: generative AI, computational advertising, NLP, and relevance ranking.