Amazon Applied Scientist Alexa Kids Experience 

United States, Washington, Seattle 

441704476

And you are experienced with…- Drive applied science (machine learning) projects end-to-end ~ from ideation, analysis, prototyping, development, metrics, and monitoring
- Conduct deep analyses on massive user and contextual data sets
- Propose viable modeling ideas to advance optimization or efficiency, with supporting argument, data, or, preferably, preliminary results
- Design, develop, and maintain scalable, Machine Learning models with automated training, validation, monitoring and reporting
- Stay familiar with the field and apply state-of-the-art Machine Learning techniques to NLP and related optimization problems
- Produce peer-reviewed scientific paper in top journals and conferencesAnd you constantly look for opportunities to…- Innovate, simplify, reduce waste, and increase efficiencies
- Use data to make decisions and validate assumptions
- Automate processes otherwise performed by humans
Learn from others and help grow those around youAs part of a new and growing team, you will be iterating on new features and products to help drive innovation and expansion. You will work on cross-functional and cross-domain opportunities; tackle challenging projects aim to accelerate experimentations in Alexa; and build out operating mechanisms and technology to enable novel customer experiences. You will be instrumental in setting the team culture, quality bar, engineering best practices, and norms. Mentoring and growing the team around you will be one of the primary ways you measure your own success. You will have the opportunity to contribute and develop deep expertise in the areas of distributed systems, machine learning, conversational technologies, user interfaces (including voice and natural user interfaces), data storage and data pipelines.Seattle, WA, USA

- 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 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

- Experience using Unix/Linux
- Experience in professional software development