Standard Analytics (Techstars NYC 2014) is hiring a Machine Learning / Data Engineer to help us organize the world’s scientific knowledge. One of our primary goals is to make knowledge discovery more accessible, contextual, and anticipatory, all driven with the power of machine learning, AI, and the semantic web. As a data engineer at Standard Analytics, you will have the unique opportunity to not only take full advantage of the copious amounts of open-access data and text available, but also the large number of scientific articles published through our platform. Some of the challenging problems we are currently trying to solve include: multi-label large-scale text classification, scientific entity recognition, data linking across multiple ontologies and resolution within multiple knowledge bases, deep contextual information retrieval, and Q&A. We are looking for someone to join us full time in NYC as a core member of our machine learning / data science team.