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Machine Learning Scientist III (Paid Apps Team)
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- Develop cutting-edge, end-to-end data-driven solutions using a diverse range of machine learning approaches, including supervised, unsupervised, clustering, NLP, computer vision, and ranking
- Combine NLP and computer vision to develop state-of-the-art catalog optimization models
- Master’s or PhD degree in Computer Science, Statistics, Economics, Engineering, Applied Mathematics or related quantitative field; or equivalent related professional experience
- Proficiency in ML and Deep learning libraries in Python (MLlib, PyTorch, Keras, TensorFlow, etc.)
- Expertise in advanced machine learning techniques, including deep learning, data mining, clustering, regression models, predictive modeling, optimization, and ranking
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