Applied Scientist, MAPLE - Recommender System

Description
Are you excited by the idea of developing personalized experiences for Amazon customers as they shop? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art recommendation system modeling and GenAI techniques? Join us and you'll help millions of customers make informed purchase decisions while also advancing the state of Amazon's science by publishing research!

Key job responsibilities
- Participate in the design, development, evaluation, deployment and updating of data-driven models for shopping personalization.
- Develop and test new signals for improving recommendation models
- Use supervised and uplift learning algorithms to improve customer experience
- Contribute to production code and science tooling
- Design A/B tests and conduct statistical analysis on their results
- Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our...