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Your responsibilities include:. Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
. Publish and present your work at internal and external scientific venues in the fields of genAI/ML/NLP/IR/Forecasting.
Your benefits include:. Excellent opportunities, and ample support, for career growth, development, and mentorship.
Seattle, WA, USA
- 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.
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