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Key job responsibilities
* Design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both analysis and business judgment.* Promote the culture of experimentation and applied science at Amazon.
* Demonstrated ability to meet deadlines while managing multiple projects.
* Excellent communication and presentation skills working with multiple peer groups and different levels of management
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience in building machine learning models for business application
- Experience in applied research
- PhD, or Master's degree plus experience in CS, CE, ML or related field.
- 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.
- Experience with Artificial General Intelligence, generative deep learning models, and specifically LLM development.
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