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Research Scientist for Data Mining, Natural Language Processing and/or Machine Learning

at Textnomics, Inc. in Sunnyvale, CA   —   Jun 27, 2014   |  
Overview
Textnomics is building the most advanced toolset for the massive job market space on the planet. We are a vertical text mining, natural language processing and machine learning company based in Silicon Valley, and we're hiring.

This is a low-risk, high-return, for highly qualified candidates. Our team consists of former NASA and European Scientists, entrepreneurs and senior executives, working on an IP rich product.

This position can eventually lead to being the Co-founder for 2nd Product we are developing (with its own P&L).
Responsibilities
We are looking for highly motivated, creative, hands-on scientists who are interested in natural language processing, machine learning, and text mining. We have a core technology that draws upon these techniques, especially NLP, in the consumer space. We are about to pivot on our current product, and creating a new product that addresses the enterprise needs.
Your main responsibility is heading the enterprise effort, work with the current team in data mining to use and enhance the consumer product, and create the first generation of the Enterprise product. This can potentially lead to a Co-Founder position for the enterprise division of our company.
Please note, we are open to part time participation, if the candidate has deep expertise related to the product. But we cannot sponsor H1B Visas at this time.
Experience
Lead the enterprise effort… NLP (tagging, chunking, data extraction)
Research: Learning - Bayesian/clustering for automated thesaurus generation. Outlier detection/rejection.
Skills
> MS or PhD in Machine Learning, Text Mining, or Natural Language Processing
> Knowledge of Java, our code base.
> Knowledge of NLP tools and techniques – parsers, taggers,
> Learning -- Bayesian analysis and learning / and clustering. Or its use for outlier rejection.
> Text / Data Mining background – particularly Data Driven Learning and Data Filtering
> Knowledge of Parsers, and taggers.
> Lucene, MongoDB a big plus.
> Document matching and retrieval a big plus.
Highly Desirable:
> Text analysis techniques ( such as LSA, LDA, Pachinco, Brown…)
Nice to Have:
> Familiarity with Wordnet, MacQuarie, Roget Thesaurus,
> C++, Python and Perl a plus
Non-technical requirements;
> Having worked in a startup or in small team is a plus
> Must be goal driven / love to work in pairs
> Enjoy working in a research driven / fast learning / fast paced test and optimize environment
> Work with remote team if needed
> Work with an interdisciplinary team of linguists and non-computer scientist
> Shift between being a code junkie, creative thinker, and more cerebral analyst -- or at least be able to work with all
Education
MS or PhD in Machine Learning, Text Mining, or Natural Language Processing
Compensation
Competitive Salary + 401K + Health Insurance (pending the close of the Series A)
Differed payment and equity based compensation until then, or beta test and launch for revenue generation (2 months time frame).
We cannot sponsor H1B Visas at this time
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