Help re-invent how millions of people watch TV! Fire TV remains the #1 best-selling streaming media player in the US, with over 100 million active users. Our goal is to be the global leader in delivering entertainment inside and outside the home, with the broadest selection of content, innovative devices, and personalized experiences for customers.
Our team is an interdisciplinary group of scientists working at the intersection of Recommender Systems, Information Retrieval, Machine Learning (ML), and Spoken Language Understanding (SLU). Through close collaboration with engineering and product teams, we develop and deploy innovative algorithms that enhance content discovery and customer engagement on Fire TV. Our work directly contributes to making our devices delightful to use and indispensable for the household.
Key job responsibilities
- Drive new AI initiatives primarily focused on Search systems, with contributions to Recommendations and SLU, applying Deep Learning, GenAI, and other ML techniques to improve Fire TV user experience
- Perform hands-on data analysis and modeling with large data sets to develop insights that increase device usage and customer experience
- Design and run A/B experiments, evaluate the impact of your optimizations and communicate your results to various business stakeholders
- Work closely with product managers and software engineers to design experiments and implement end-to-end solutions
- Setup and monitor alarms to detect anomalous data patterns and perform root cause analyses to explain and address them
- Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and Conferences
- Help attract and recruit technical talent; mentor junior scientists
