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Job Announcement: Social Instinct

Computational Linguistics: Programmer, Social Instinct, Telecommute, USA

Employer: Social Instinct
Job Location: USA (Telecommute)
Title: Machine Learning / NLP Engineer
Rank: Programmer
Linguistic Field(s): Computational Linguistics
LL Issue: 24.3379
Date Submitted: 26-Aug-2013
Job Description: At Social Instinct, a division of Appen, we believe in the power of well informed, engaged and connected communities. We provide tools to create a better online user experiences through moderation and curating of content to make sure information is appropriate and relevant.

Appen Butler Hill (Appen) is a well-established global provider of linguistic services and tools. Operating in 120 languages in over 90 countries, Appen services a wide variety of clients from startups, large fortune 500 companies and governments.

We are looking for an experienced Machine Learning/NLP Engineer to help develop a moderation and curation solution using NLP, Machine Learning, and Text Mining in our small and passionate group. We are looking for candidates who share a passion for tackling complexity and making sense out of unstructured data. They should be creative, motivated and eager to take ownership of the problem, helping to take it from conception to completion and beyond. The position is for someone who is a self-starter, likes to work on all aspects of linguistic problems and has passion for creating innovative solutions. Great candidates will be able to wear multiple hats and help out in all areas required in a small startup.

What you will own, build and support:
- Define, design and implement sophisticated text classifiers using NLP and Machine Learning
- Measure and continuously improve the quality of the algorithms
- Partner with the rest of the development team and in-house linguists on the overall system strategy, resources and feature prioritization
- Work with Business Owner to create and design features
- Research new technologies to be used in our platform development

Candidates must have:
- Expert knowledge of Machine Learning, including decision trees, Naive Bayes' classifiers, and/or maximum entropy classifiers
- Hands-on experience developing and implementing Machine Learning algorithms
- Familiarity with existing tools such as NLTK, WEKA, LingPipe, scikit-learn etc.
- Strong programming skills in Python, Ruby on Rails, Java, C/C++ or equivilent.
- Experience with Agile Development methodologies
- Strong problem solving abilities, passion for data, results oriented
- Strong communication and collaboration skills
- Desire and ability to learn new technologies and tools
- Strong relational SQL database experience. Understanding how to extract large datasets using efficient queries
- Working with very large datasets. Good understanding of performance issues relating to large complex / big data systems

Ideal candidate also has:
- Familiarity with semantic technologies (RDF, OWL, FrameNet, WordNet)
- Experience developing natural language processing systems or algorithms
- Knowledge of other languages besides English
- Background in Computational Linguistics
Application Deadline: Open until filled
Application URL:
Contact Information: Daphne  Guericke
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