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LINGUIST List 20.2514

Wed Jul 15 2009

Jobs: Computational Linguistics: Machine Learning Specialist, H5

Editor for this issue: Bethany Townsend <bethanylinguistlist.org>


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        1.    Laura Carey, Computational Linguistics: Machine Learning Specialist, H5, San Francisco, CA, USA

Message 1: Computational Linguistics: Machine Learning Specialist, H5, San Francisco, CA, USA
Date: 13-Jul-2009
From: Laura Carey <lcareyh5.com>
Subject: Computational Linguistics: Machine Learning Specialist, H5, San Francisco, CA, USA
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University or Organization: H5
Department: Research and Development
Job Location: California, USA
Web Address: http://www.h5.com
Job Rank: Machine Learning Specialist

Specialty Areas: Computational Linguistics


Description:

About H5
H5 is the leading provider of information retrieval and document analysis
services for Fortune 500 corporate legal departments and leading law firms.
H5 was recognized with a number three ranking among the fastest growing
technology companies by Deloitte's Technology Fast 50 Program. H5, a
privately held company with strong venture capitalist backing, was also
included in the "Cool Vendors in Content Management, 2007" report by
premier analyst firm, Gartner, Inc.

H5 is an information retrieval firm that helps law firms and corporations
search, assess, and manage electronically stored information. Through a
full range of advisory, document review, and litigation support services,
H5 finds the information clients need for litigation and investigations,
compliance, and litigation readiness. Our approach - which combines
advanced technologies with expertise in law, linguistics, computer science,
and statistics - consistently reduces clients' information management costs
while minimizing their risk.

Employment opportunities with H5 are differentiated by our unique value
proposition. We offer an environment where you will partner with a diverse
team of sophisticated knowledge workers who share a drive to succeed, a
passion for solving our clients' most challenging problems and a strong
intellectual curiosity. Our expectations for performance are high and each
team member has a clear line of sight connecting their individual
contributions toward the achievement of department and corporate
objectives. For more information please visit the website listed above.

Overview:
In this position, you will draw on your familiarity with machine learning
techniques and experience with their application to create classification
systems extending and refining H5's industry-leading approach to legal
document review.

Responsibilities:
- Develop a classifier-based approach to high-quality, human-computer
information retrieval
- Become familiar with the characteristics of the legal document review
problem and with H5's existing approach
- Collaborate with internal experts to determine feature requirements and
parameters of an acceptable document review solution
- Acquire, create or direct the creation of data resources needed for
development and/or evaluation
- Perform experiments and implement and test prototype systems as
necessary, sharing results with other researchers and end-users, in order
to arrive at a functioning approach acceptable to users
- Perform a convincing large-scale evaluation of the document review
solution in the context of a real- or near-real scale project
- Create instrumentation in order to monitor evaluation process; collect,
synthesize and report on data in order to assess effectiveness of the
solution under evaluation
- Work closely with users to set expectations and communicate differences
with existing solution and benefits of the new approach

Requirements:
- Proven ability to develop efficient software
- Master's or PhD degree or equivalent experience in machine learning or
closely related field
- Knowledge of machine learning research and literature
- Hands-on experience with techniques such as Support Vector Machines
(SVM), Decision Trees and Logistic Regression
- Track record of effective application of machine learning approaches in
real-world applications

Application Deadline: 30-Oct-2009

Web Address for Applications: http://www.h5.com/careers/openings.html
Contact Information:
Laura Carey
Email: lcareyh5.com

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