Standard Analytics <a href=" | Machine Learning / Data Engineer | NY, NY | Full-time, Onsite 
Standard Analytics (Techstars NYC 2014) is hiring a Machine Learning / Data Engineer to help us organize the world’s scientific knowledge (full post: <a href="). 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&amp;A.
We are looking for someone to join us full time in NYC as a core member of our machine learning / data science team. If you think you might be a good fit, please send an email along with evidence of your work (GitHub profile, etc.) to REDACTED_EMAIL.
Ask HN: Who is hiring? (August 2015)