Employer will accept a Ph.D. degree in Machine Learning, Optimization, Data Science, Analytics, Computer Science, Computer Engineering, Applied Sciences, Mathematics, Physics or related field. Position also requires completion of a universitylevel courseresearch projectinternshipthesis, or 6 months of experience in each of the followingbr br 1. Algorithms, data structures, or systems software;br 2. Solving analytical problems using quantitative approaches;br 3. Gathering, manipulating, or analyzing complex, highvolume, highdimensionality data from varying sources;br 4. Communicating complex research in a clear, precise, and actionable manner;br 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision;br 6. Performing research that enables learning the semantics of data images, video, text, audio, or other modalities and advances the technology of intelligent machines;br 7. Devising better datadriven models of human behavior;br 8. Adapting standard machine learning methods to best enterprise modern parallel environments distributed clusters, multicore SMP, or GPU;br 9. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rulesbased models, or mathematical models; andbr 10. Java, C, Perl, PHP, or Python.
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