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Key job responsibilities- You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty.
- You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones.- You set standards and proactively drive components to use and improve on state-of-the-art techniques.
- 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 prompting techniques for LLMs
- 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.
- PhD in math/statistics/engineering or other equivalent quantitative discipline
- Experience with conducting research in a corporate setting
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
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