Applied Scientist

3+ months agoSeattle, WA


Help re-invent how millions of people watch TV!
Fire TV remains the #1 best-selling streaming media player in the US. As we continue to evolve the customer experiences on our products, we are looking for an experienced applied scientist to help customers find the content they want to watch, that they didn't even know they were looking for.

In this role, you will own and drive initiatives to improve Fire TV recommendations through a variety of machine learning algorithms. We are looking for a creative, customer and details obsessed machine learning scientist who can apply the latest research, state of the art algorithms and machine learning to build recommendation and personalization systems.

We are looking for someone with a deep customer focus, as well as a passion for feature experimentation in video and entertainment space. You will get a chance to work with talented engineers to make a meaningful impact on customer experience by leading the design, architecture, and implementation of features used by millions of customers.


• PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
• 2+ years of experience of building machine learning models for business application
• Experience programming in Java, C++, Python or related language


• A PhD in CS, Machine Learning or in a highly quantitative field.
• Prior work experience as an applied scientist or a data scientist at a consumer product company.
• Experience using an object-oriented language to write production-ready code.
• Strong record of publications in one of the following areas: information retrieval, natural language processing, recommender systems, reinforcement learning, multi-armed bandits.
• Industry experience working with search engines, autocomplete, or recommender systems.

Job ID: Amazon-1471275