Amazon Applied Scientist Alexa News 

United States, Washington, Bellevue 

910855071

As part of the Alexa News team, you’ll get to work on projects that are fast-paced, challenging, and varied. Also, you’ll get to experiment with new possibilities, take risks, and collaborate with remarkable people.As a member of the team, you will apply your deep knowledge of machine learning to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on retrieving, cleansing and preparing large scale datasets, training and evaluating models and deploying them for customers, where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with complete independence and are often assigned to focus on areas where the business and/or architectural strategy has not yet been defined. You must be equally comfortable digging in to business requirements as you are drilling into designs with development teams and developing ready-to-use learning models. You consistently bring strong, data-driven business and technical judgment to decisions.A day in the life
As an Applied Scientist on the News team, you'll work everyday with other scientists on the team and also with News engineers who will integrate with your solutions. You'll participate in product management discussions to help stakeholders understand which problems science can help solve. You will also work with other science teams in Alexa org, learning innovations happening in their space and bringing any relevant solutions to your own team. In addition to implementing your science solutions, you'll also be researching and keeping up to date with industry advancements and advocating for adoption of newer methodologies, as and when necessary.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Have publications at top-tier peer-reviewed conferences or journals
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow