You will help implement and optimize NLP and machine learning algorithms for near real-time performance over terabytes of data, and contribute to integrating them into our NLP pipeline. We expect you to work heavily with our app dev team and coordinate research work with product development.
Back End Engineer
You are interested in large-scale content aggregation, data processing, and storage. We expect you to work closely with others and provide leadership, code discipline, and project design by example. You are extremely driven and want to assume ownership over an important part of our technology to build a solid product stack.
Front End Engineer
You will engineer sleek solutions for visualization, presentation, and interaction with high volumes of semantically-rich longitudinal business intelligence data, resulting in beautiful and easy to use web applications that render a consistent output. Your users: from Fortune 100 to people on iPhones. Educate us on the possibilities.
We are building an infrastructure-as-a-service for deep NLP. Clients use our platform (called Minsky) to interactively train and deploy pipelines of natural language processors to meet their specific information needs, running our ML / NLP algorithms on real world datasets at real world speeds. Developers use our API to build language understanding apps by accessing our deep NLP pipeline to process billions of Internet posts and internal data. Current open positions are listed below but if you are an NLP researcher and think that your skills align with what we are building, do not hesitate to send us your resume.
Interactive Information Extraction
In this role, you will integrate users’ feedback into machine-learned models to combine the best of human intelligence and AI for language understanding as well as extend interactive learning techniques beyond shallow NLP (text classification, topic modeling) to include human-in-the-loop named entity recognition, relation extraction, structure prediction tasks and more.
In this role, you will map textual data to representations of meaning suitable for data aggregation, design broad-coverage semantic representations, deep enough to capture linguistic phenomena relevant to data aggregation, and build statistical models to learn these representations given limited supervision.
In this role, you will implement annotation procedures, possibly relying on crowd or community sourcing, to achieve consistent annotation needed for training target statistical models and curate linguistic resources relevant to information extraction tasks.
Hello interns! Come work on cutting edge technical problems and, if you are lucky, get supported by a National Science Foundation scholarship. For details, inquire within.
Head of Sales
High-energy, driven Head of Sales reporting directly to the CEO. You will be responsible for building and executing our sales strategy. You will be held accountable for generating revenue growth, with the plan of building out a sales team and establishing growth goals. Ideal candidates have a solid B2B sales background and are able to build and execute a sales strategy that gains marketshare and builds high levels of customer success.