Amazon Sr Applied Scientist Alexa Communications 

United States, Washington, Seattle 

911463098

And you are experienced with…
- Driving applied science (machine learning) projects end-to-end from ideation, analysis, prototyping, development, metrics, and monitoring
- Conducting deep analyses on massive user and contextual data sets
- Proposing viable modeling ideas to advance optimization or efficiency, with supporting argument, data, or, preferably, preliminary results
- Designing, developing, and maintaining scalable ML models and LLM's with automated training, validation, monitoring and reporting
- Staying familiar with the field and apply state-of-the-art ML techniques to NLP and related optimization problems
- Publishing peer-reviewed scientific papers in top journals and conferencesAnd you constantly look for opportunities to…
- Innovate, simplify, reduce waste, and increase efficiency
- Use data to make decisions and validate assumptions
- Automate processes otherwise performed by humans
- Learn from others and help those around you grow

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.