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Job Announcement: AskZiggy, Inc.

Statistical Natural Language Processing: Associate Computational Linguist, AskZiggy, Inc., California, USA

Employer: AskZiggy, Inc.
Job Location: California, USA
Rank: Associate Computational Linguist
Linguistic Field(s): Computational Linguistics
Statistical Natural Language Processing
LL Issue: 23.3915
Date Submitted: 20-Sep-2012
Job Description: AskZiggy, Inc. is hiring an Associate Computational Linguist to add to our
growing team. AskZiggy is a leader in intent-driven voice-activated
multimodal interface utilizing natural language understanding. We are working
closely with a growing number of large publically-traded corporate partners to
provide customized domain-aware agents that converse naturally and
efficiently with their users.

We are:
- A growing, dynamic, and harmonious team of software developers.
- All techies here, really. From the CEO down we are software developers,
first and foremost, who lead by example and give self-starting, engaged
employees the independence and room for creativity they need.
- Passionate and knowledgeable about developing useful and flexible
applications that use natural language to help users accomplish tasks.
- Located in Rocklin, CA near Sacramento.

We offer:
- Competitive pay and benefits, including a comprehensive health care plan
and stock options.
- Equipment and infrastructure that developers need to develop products.

You definitely have:
- Both the independence to contribute to design decisions and the ability to
implement software designs on a deadline.
- Excellent multitasking, troubleshooting, and communication ability.
- The ability to rapidly absorb information and self-teach.
- The ability to take guidance and compromise.
- A BS or graduate degree in Computer Science, Machine Learning, or
Computational Linguistics.
- Expertise programming in one or more of C, C++, C#, or Java.
- Coursework or equivalent experience in one of the following: Computational
Linguistics, Information Retrieval, Natural Language Processing, Machine
Learning, or Human Language Technologies.
- Experience with probabilistic sequence tagging and information extraction.

It would be highly desirable for you to have:
- Experience programming in one or more of: Python, Scala, Clojure or other
languages targeting the JVM or .NET.
- Experience with Information Retrieval, Named Entity Recognition, MaxEnt
classifiers or logistic regression.
Application Deadline: 01-Nov-2012
Open until filled
Application Email: click here to access email
Contact Information: Kyle  Grove
click here to access email
Phone: 916-435-0444