28.638, Jobs: English; Computational Linguistics: Programmer, EmployeeChannel, Inc.

[The LINGUIST List]

LINGUIST List: Vol-28-638. Thu Feb 02 2017. ISSN: 1069 - 4875.

Subject: 28.638, Jobs: English; Computational Linguistics: Programmer, EmployeeChannel, Inc.

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Date: Thu, 02 Feb 2017 13:54:10
From:  Sarah [sarah at employeechannelinc.com]
Subject: English; Computational Linguistics: Programmer, EmployeeChannel, Inc., California, USA

 
University or Organization: EmployeeChannel, Inc. 
Job Location: California, USA 
Job Title: NLP Data Engineer
Job Rank: Programmer

Specialty Areas: Computational Linguistics 

Required Language(s): English (eng)

Description:

Data Engineer with a focus on Natural Language Processing

EmployeeChannel, Inc. is looking for a highly motivated Natural Language
Processing data engineer with a strong background in software development and
language technologies including text mining, information retrieval, speech
processing and language modeling. This position gives you an opportunity to
apply your problem solving skills to challenging problems in natural language
processing for enterprise-scale customers. The data engineer will utilize
their experience leveraging machine learning techniques and language data to
develop a new generation of human resources-oriented customer support
products. The ideal candidate is an accomplished software engineer who will
work with fellow engineers and data scientists to combine unstructured data
analysis with traditional data mining and machine learning techniques in a new
domain. Among other projects, you will build a scalable and distributed search
system including content acquisition, indexing, and query interfaces. 

The data engineer will:

report to the senior natural language processing architect and work on an NLP
and analytics-focused team to improve search in the product and create a more
intuitive and personalized conversation within the question-answering
interface.

Required Technical and Professional Expertise:

- Strong Python, JavaScript, and SQL programming skills.
- Knowledge of, or experience building production quality and large scale
deployments of applications related to natural language processing and machine
learning.
- Knowledge of machine learning techniques and algorithms and the ability to
apply them in concert with data driven natural language processing methods.
- Experience using many of the following:
Information retrieval/search (Word2vec, Lucene, and Elasticsearch)
Text similarity measures (tf–idf, n-grams, and Jaccard similarity)
Experience with scikit-learn / NLTK / Stanford core
Linguistic dictionaries, ontologies, taxonomies, and other NLP
resources.
- Ability to quickly prototype ideas and solutions.
- Experience performing data analysis and creatively solving complex problems.
- Excellent communication skills and experience developing solutions in
coordination with a high-performing team in an agile environment.
- Knowledge of R or comparable statistical modeling and graphics
packages.

Nice to Have Technical and Professional Experience

- MS in Computer Science, Computational Linguistics, Cognitive Science, Data
Science, Semiotics, Information Systems, Experimental Psychology, or similar.
- Experience developing software for highly contextual or domain- specific
search, chat-bots, intelligent assistants, or AI agents.
- Experience building solutions to with Natural Languages Understanding (NLU),
Natural Language Generation (NLG), and semantics-based problems.
- Experience improving search recall and precision with enterprise data.
- Human-in-the-loop and human computation experience including setting up and
analyzing the results of language annotation tasks on crowdsourcing platforms.
- Big data infrastructure, data mining, or data management.

About Us:

EmployeeChannel, Inc. is a leading provider of cloud-based apps for real-time
employee communications, delivering the knowledge and performance of a
company’s HR professionals and their partners at employees’ fingertips.



Application Deadline: 15-Apr-2017 (Open until filled)
	  
Email Address for Applications: sarah at employeechannelinc.com 
Contact Information
	Sarah 
	Email: sarah at employeechannelinc.com 


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LINGUIST List: Vol-28-638	
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