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Amazon

Sr. Applied Scientist, Fire TV Science

location icon US, CA, Sunnyvale
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Help re-invent how millions of people watch TV! Fire TV remains the #1 best-selling streaming media player in the US. Our goal is to be the global leader in delivering entertainment inside and outside the home, with the broadest selection of content, devices and experiences for customers.

Our science team works at the intersection of Recommender Systems, Information Retrieval, Machine Learning and Natural Language Understanding. We leverage techniques from all these fields to create novel algorithms that allow our customers to engage with the right content at the right time. Our work directly contributes to making our devices delightful to use and indispensable for the household.

Key job responsibilities
- Drive new initiatives applying Machine Learning techniques to improve our recommendation, search and entity matching algorithms
- 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

We are open to hiring candidates to work out of one of the following locations:

Sunnyvale, CA, USA
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