PhD in Computer Science, Computational Linguistics, or related field preferred, or Master’s degree with 2+ years’ of relevant industry experience Proficient programming skills in a high-level language (e.g. Java, Scala, Python, C/C++, Perl, Matlab, R) Experience with statistical data analysis, experimental design, and hypotheses validation Familiarity with probabilistic models and an understanding of the mathematical concepts underlying machine learning methods Project-based experience with some of the following tools: Applied machine learning (e.g. libSVM, Shogun, Scikit-learn or similar) Deep Learning tools (e.g., Keras, Tensorflow, Theano, FastText or similar) Natural Language Processing (e.g., ClearTK, ScalaNLP/Breeze, ClearNLP, OpenNLP, NLTK, or similar) Statistical data analysis and experimental design (e.g., using R, Matlab, iPython, etc.) Information retrieval and search engines, e.g. Solr/Lucene Distributed computing platforms, such as Hadoop (Hive, HBase, Pig, Spark, GraphLab) Databases (traditional and noSQL) Must be a self-motivated, lifelong learner, who is passionate about turning new ideas into solutions for our customers Results-driven focus with the ability to prioritize deliverables that have the most significant, measurable impact Excellent oral and written communication skills