26.3955, Jobs: Applied Linguistics; Computational Linguistics; Language Acquisition; Text/Corpus Linguistics: Computational Linguist, Lingvist Inc.

Tue Sep 8 13:33:59 UTC 2015

LINGUIST List: Vol-26-3955. Tue Sep 08 2015. ISSN: 1069 - 4875.

Subject: 26.3955, Jobs: Applied Linguistics; Computational Linguistics; Language Acquisition; Text/Corpus Linguistics: Computational Linguist, Lingvist Inc.

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Date: Tue, 08 Sep 2015 09:33:57
From: Mait Müntel [myntel at lingvist.io]
Subject: Applied Linguistics; Computational Linguistics; Language Acquisition; Text/Corpus Linguistics: Computational Linguist, Lingvist Inc., United Kingdom / Germany / Estonia

University or Organization: Lingvist Inc. 
Job Location: UK: London, Germany: Berlin, Estonia: Tallinn, Germany (Telecommute)
Web Address: https://lingvist.io/
Job Title: Computational Linguist
Job Rank: Computational Linguist; Other

Specialty Areas: Applied Linguistics; Computational Linguistics; Language Acquisition; Text/Corpus Linguistics 

Description:

We’re looking for a talented Computational Linguist to join our team immediately.

Who are we?

Lingvist is trying to make language learning 10x faster by using mathematical and statistical methods. We want to change the world by making it possible to learn a new language in 200 hours using our innovative software. We have already achieved remarkable traction against this goal.

The Lingvist prototype was created at CERN by one of our co-founders, employing the machine-learning algorithms that were used to discover the Higgs boson. The leader of Skype’s core technology team then joined as co-founder and CTO to scale it to millions of users.

Responsibilities

- Find, choose, and implement computational linguistics tools (dictionaries, lemmatisers, TTS and ASR engines, etc.).
- Conduct frequency-based corpus analysis to produce statistically relevant content for students.
- Prototype and integrate new approaches in natural language processing to improve language learning efficiency.
- Research and identify new NLP technologies, systems, and/or applications that are likely to increase the learning speed.
- Collaborate closely with software engineering, linguistic, and product management teams.
- Handle current critical tasks and take on additional responsibilities as the company expands.

Requirements

- MSc or PhD in Computational Linguistics or a related discipline, or equivalent experience.
- 2+ years’ experience with NLP techniques such as corpus analysis, text-mining, language identification, sentiment analysis, named-entity recognition, and lemmatisation.
- Strong programming and data management skills (e.g. in Python, XML, etc.).
- Forward-thinking; being comfortable with research and design, but also demonstrating willingness to support team members in the ongoing maintenance of existing systems.
- Leadership qualities and problem-solving skills for creative solutions.
- Good command of spoken and written English.
- Self-motivation: ability to set your own priorities and follow them.
- Team spirit: willingness to help make Lingvist a great place to work.
- Desire to make the world a better place through technology.

We Offer

- Responsibility from day one; professional and personal development.
- Opportunity to turn your great ideas into a high-quality, world-changing product.
- Competitive salary.
- Equity package in an early-stage fast-growing company.
- Friendly work environment – we understand the value of flexibility and work–life balance.
- Inspiring team events and lively startup atmosphere.
- Flexible location: in our London, Tallinn or Berlin offices, or remotely (initially).

Exception Candidates Will Have Any or Some of the Following Qualities

- 2+ years of related professional work experience for applicants holding a PhD.
- Experience in hands-on processing, representation and transformation of text data using tools such as ScalaNLP, NLTK, OpenNLP, and Stanford CoreNLP.
- 4+ years of experience in text mining, machine learning, information retrieval, and natural language processing.
- Track record of relevant publications in peer-reviewed conferences and journals.
- Proven management experience.
- Knowledge of machine-learning technologies such as SVM, MaxEnt, Neural Networks, Deep Learning, and clustering algorithms.
- Ability to convert research papers of NLP techniques into practical engineering solutions in production.

If you are interested or want to hear more, please contact jobs at lingvist.io or see https://lingvist.io/

Application Deadline: 15-Oct-2015 (Open until filled)

Email Address for Applications: jobs at lingvist.io 
Web Address for Applications: https://lingvist.io/jobs/ 
Contact Information:
	Mait Müntel 
	Email: myntel at lingvist.io 

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