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Key job responsibilities- Perform hands-on analysis and modeling of enormous data sets to develop insights that both improve the shopper experience while increasing traffic monetization and merchandise sales.
- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
- Run A/B experiments, gather data, and perform statistical analysis.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
- Research new and innovative machine learning approaches.
- 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 building machine learning models or developing algorithms for business application
- Experience using Unix/Linux
- Experience in professional software development
- 3+ years of building machine learning models or developing algorithms for business application experience
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow
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