/* Part Time Natural Language Processing or Machine Learning Programmer : */

Part Time Natural Language Processing or Machine Learning Programmer

• Company: GSAREH LLC
• Location: Arboretum, Austin, TX
• Closing Date: 24 February 2012, or Until Filled
• Salary: Hourly rate TBD based upon qualifications
• Work Hours: 20 hrs/week for 6 months – possibility to lead for an FTE appointment on or about 1 September 2012 – Flexible days/times.

o NLP or a related discipline, such as computational linguistics, machine learning, or artificial intelligence
o Knowledge of state-of-the-art methods coupled with the creativity and intelligence to advance it
o Hands-on experience in machine learning, Bayesian modeling, and statistics
o Strong programming skills (C++ Programming, Flex, Java)
o Working knowledge of Linux and Python (or interest to learn)
o Source code management skills
o Web application experience
o Knowledge of geospatial intelligence and geospatial technologies is a plus!

Essential Duties:
o Participate in the development and implementation of software tools and NLP applications and technical demos using both parsing and statistical te hniques.
o Help define and implement the agenda for our NLP R&D technology track.
o Mine a variety of online and offline sources to transform unstructured data into actionable intelligence.
o Compile and write documentation of program development and technical manuals

GSAREH LLC is an R&D and consulting company specialized in geospatial technologies. For more information visit www.gsareh.com

How to Apply:
Email résumé, cover letter, and statement of interest to info@gsareh.com with subject “NLP Student Intern Application.” Statement of interest should include a statement of interests highlighting skill and experience in NLP / Computational Linguistics technologies and a summary list of systems/projects of similar nature you have performed, and preferred working schedule, in addition to 2-3 references with email addresses and telephone number to contact and verify information.

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