We are building conversational AI chatbots to streamline and improve the hiring process. Named one of the top NYC Startups by Built and backed by big names in the industry like Slack and Randstad, we have created a ton of buzz in TechCrunch, VentureBeat and Business Insider.
What You Will Be Doing
Our problem lends itself to some really neat NLP constraints and machine learning challenges. On the one hand, you’ll use NLP to increase the dynamism and responsiveness of our conversational AI – driving the experience forward in powerful ways to generate better and richer conversational data about job applicants.
You’ll also help build models of hiring success that examine the funnel metrics of job applicants moving through the pipeline, as well as extracting understanding from the rich lightly-structured conversational data generated by the screening process.
What You Need for this Position
Post-academic, real world experience in bring public-facing production projects to completion?
Written production code (ideally in Java, Python, Scala, or – BIG PLUS – Clojure)?
Used NLP to work on unstructured dialog problems and knowledge extraction?
Done other work in NLP: tagging parts-of-speech, semantic analysis, entity recognition, building ontological frameworks, relation extraction, and the like?
Deep experience with machine learning – particularly in its NLP application or in matching or recommendation engines?
Built chatbots or worked with AI?
Worked with open source or any other language processing tools such as Stanford NLP, NLTK, Apache OpenNLP, etc.
So, if you are a Principal Data Scientist with experience, please apply today!
How to apply:
Please mention NLP People as a source when applying
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