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NLP Applied Research Scientist

Job Title: NLP Applied Research Scientist
Contract Type: Permanent
Location: London, England
Industry:
Salary: £55000.00 - £70000.00 per annum + 1.0 - 3.0% Equity
Start Date: ASAP
Reference: BBBH57651_1530889367
Contact Name: Adam Johnson
Contact Email: a.johnson@parity.net
Job Published: July 06, 2018 16:02

Job Description

Applied Research Scientist

£55K - £70K

1.0% - 3.0%


Join a vibrant and diverse second seed startup, with the aim of solving misinformation through journalism, media, and machine learning. With a patent-pending news aggregator, this startup is at the forefront of countering fake news through automated misinformation detection.


What you'll be doing

- Hands-on role, involves implementing and further developing the platforms algorithms
- Thinking about how to combine both human and AI approaches and make the algorithms explainable and interpretable
- Supported by Head of Research and work alongside R&D team
- Consulted remotely by leading scientific advisors
- Build new ways of classifying and detecting toxic content on the web e.g. terrorist content, hate-inciting extremist content, and more subjective categorisations such as news bias, including on video
- Build NLP systems to extract and model relations, entities and topics in news data, and develop algorithms to score and provide contextual facts
- You will be free to run experiments and build prototypes with unique approaches for problems


Who we're looking for

- NLP or computational linguistics research background in a PhD/masters/industrial research lab
- You are an innovator, who can come up with new research ideas and implement them quickly
- Can architect human and ML systems (active or online learning or annotation pipelines)
- Intermediate Python and major NLP/Machine Learning Libraries (Spacy, CoreNLP, Tensorflow, PyTorch, etc.)


Bonus points if you

- Published papers in recognised journals and conferences like ACL/NIPS/EMNLP/NACL
- Research in fields such as annotation pipelines, online learning, active learning, controversy detection, syntactic/semantic parsing, information extraction, textual entailment, question answering, argument mining, discourse parsing, polarity mining, knowledge base completion, ontology extraction
- Previous work related to fake news/news bias/automated fact checking/misinformation

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