Are you excited by the idea of developing algorithms to improve the shopping experience for Amazon customers? Are you looking for new challenges and to solve hard science problems while applying state-of-the-art modeling techniques? Join us and you'll help make the shopping experience better for millions of customers while also advancing the state of Amazon's science through publishing research!
Key job responsibilities
- Develop and apply new machine learning algorithms
- Use expertise in supervised learning and causal inference to improve ML performance
- Scale optimization techniques to drive business value
- 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 customers
- Present and publish science research, contributing to Amazon's science community
- Mentor junior engineers and scientists.
- Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area
About the team
Our team's mission is to surface the right payments-related recommendations to customers at the right time, helping create a rewarding and successful shopping experience for Amazon's customers. Our team's culture is highly collaborative, with an emphasis on supporting each other and learning from one another. We dedicate time each week to focus on personal development and expanding our knowledge as a team. We also highly value having a big impact, both for Amazon's business and for our customers.
