We are changing the world of content using natural language processing
by increasing our ability to discern and verify it. We are backed by
Google's Digital News Initiative and actively growing to try and solve
the problem of false claims made by news, media sources, and politics.
Our team consists of top researchers in NLP and machine learning,
specifically for fact checking, and building an AI startup on this
problem.
Responsibilities
We are looking for a full stack NLP engineer to join the team.
You need to be experienced with statistical NLP, distributed systems,
big data pipelines, and being able to apply NLP models to information
extraction and semantic parsing tasks. Ideally you also have web mining
and information retrieval experience. Most importantly, you need to have
a a strong passion for the problem of misinformation and information
overload and what it leads to in our world.
The role will entail building a full scale information extraction
pipeline with scheduling, continuous integration and big data server
management with containerisation, extracting relevant entities using NLP
pipelines, building feature representations using state-of-the-art ML
techniques, and then training/developing algorithms for training and
testing. Finally, the role will involve some experience to develop our
client/server architecture and API to build a fact checking tool for the
public to use.